ORCID Profile
0000-0002-9529-0631
Current Organisation
Monash University
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Atmospheric Radiation | Pattern Recognition and Data Mining | Atmospheric Sciences | Climate Change Processes
Expanding Knowledge in the Environmental Sciences | Atmospheric Processes and Dynamics | Climate Variability (excl. Social Impacts) |
Publisher: Optica Publishing Group
Date: 30-11-2007
DOI: 10.1364/AO.46.008364
Abstract: Linear and nonlinear components analysis of data from a monostatic laser polarimeter is developed and applied to the task of remote, nonimaging discrimination among different textures on paint and polymer coupons independent of their spatial orientations. Both principal-components analysis and nonlinear components analysis are applied to multidimensional laser data in measured Mueller matrices, with discrimination via cluster segmentation in derived linear and nonlinear constant channels. Textures on the discriminated coupons are generated by heating and illustrated in optical micrographs.
Publisher: IEEE
Date: 06-2009
Publisher: IEEE
Date: 07-2019
Publisher: SPIE
Date: 05-05-2006
DOI: 10.1117/12.666600
Publisher: Optica Publishing Group
Date: 08-2006
DOI: 10.1364/AO.45.005497
Abstract: Imaging polarimeters are often designed and optimized by assuming that the polarization properties of the optics are nearly ideal. For ex le, we often assume that the linear polarizers have infinite extinction ratios. It is also usually assumed that the retarding elements have retardances that do not vary either spatially or with the angle of incidence. We consider the case where the polarization optics used to develop an imaging polarimeter are imperfect. Specifically, we examine the expected performance of a system as the extinction ratio of the diattenuators degrades, as the retardance varies spatially, and as the retardance varies with incidence angle. It is found that the penalty in the signal-to-noise ratio for using diattenuators with low extinction ratios is not severe, as an extinction ratio of 5 causes only a 2.0 dB increase in the noise in the reconstructed Stokes parameter images compared with an ideal diattenuator. Likewise, we find that a system can be optimized in the presence of spatially varying retardance, but that angular positioning error is far more important in rotating retarder imaging polarimeters.
Publisher: IEEE
Date: 07-2019
Publisher: SPIE
Date: 19-10-2012
DOI: 10.1117/12.929720
Publisher: IEEE
Date: 07-2006
Publisher: The Optical Society
Date: 16-05-2018
DOI: 10.1364/OL.43.002426
Publisher: Optica Publishing Group
Date: 2007
Abstract: New classes of spectral sensors are emerging that have significant overlap in the band spectral response functions. While conventional sensors such as the Multispectral Thermal Images (MTI) or Landsat may have responses with a few percent overlap between adjacent bands, some of the emerging sensors can have more than 50% correlation among all spectral bands. The traditional geometrical models used to describe spectral data fail when such high levels of correlation exist. In this paper we present a generalized geometrical model that relies on functional analysis. We define a sensor space and a scene space that can be used to characterize the suitability of a sensor for a particular spectral sensing task. We demonstrate that classifiers based on first-order distance and angle metrics fail for sensors with highly correlated bands unless appropriate preprocessing is carried out. We further show that second-order statistical classifiers are largely immune to many of the problems introduced by the correlated band responses.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2008
Publisher: SPIE
Date: 15-11-2000
DOI: 10.1117/12.406642
Publisher: SPIE
Date: 05-05-2006
DOI: 10.1117/12.666041
Publisher: American Meteorological Society
Date: 10-2011
Abstract: This paper describes results from a near-real-time objective technique for estimating the intensity of tropical cyclones from satellite infrared imagery in the North Atlantic Ocean basin. The technique quantifies the level of organization or axisymmetry of the infrared cloud signature of a tropical cyclone as an indirect measurement of its maximum wind speed. The final maximum wind speed calculated by the technique is an independent estimate of tropical cyclone intensity. Seventy-eight tropical cyclones from the 2004–09 seasons are used both to train and to test independently the intensity estimation technique. Two independent tests are performed to test the ability of the technique to estimate tropical cyclone intensity accurately. The best results from these tests have a root-mean-square intensity error of between 13 and 15 kt (where 1 kt ≈ 0.5 m s−1) for the two test sets.
Publisher: IEEE
Date: 03-2012
Publisher: SPIE
Date: 09-2015
DOI: 10.1117/12.2188653
Publisher: EDP Sciences
Date: 2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Publisher: Optica Publishing Group
Date: 10-2003
Abstract: A novel radiometrically accurate scene-based nonuniformity correction (NUC) algorithm is described. The technique combines absolute calibration with a recently reported algebraic scene-based NUC algorithm. The technique is based on the following principle: First, detectors that are along the perimeter of the focal-plane array are absolutely calibrated then the calibration is transported to the remaining uncalibrated interior detectors through the application of the algebraic scene-based algorithm, which utilizes pairs of image frames exhibiting arbitrary global motion. The key advantage of this technique is that it can obtain radiometric accuracy during NUC without disrupting camera operation. Accurate estimates of the bias nonuniformity can be achieved with relatively few frames, which can be fewer than ten frame pairs. Advantages of this technique are discussed, and a thorough performance analysis is presented with use of simulated and real infrared imagery.
Publisher: SPIE
Date: 18-08-2005
DOI: 10.1117/12.613075
Publisher: Optica Publishing Group
Date: 30-06-2023
DOI: 10.1364/OE.493443
Abstract: A spatially adaptive Mueller matrix imaging polarimeter is described, simulated, and demonstrated with preliminary experiments. The system uses a spatial light modulator (SLM) in the polarization state generator (PSG) to create spatial carriers that controlled by the pattern written to the SLM. The polarization state analyzer (PSA) is a commercial ision of focal plane imaging polarimeter. The PSG/PSA pair form a 9-channeled partial Mueller matrix polarimeter that measures a 3 × 3 sub-matrix of the Mueller matrix. We demonstrate that adapting the PSG modulation to the spatial frequency structure of the scene can reduce channel crosstalk and improve reconstruction accuracy. Initial experiments are performed that demonstrate the SLM’s ability to produce sufficient modulation ersity to create the desired channel structure. Though there are several experimental challenges to obtain accurate Mueller matrix imagery, we demonstrate a system that adapts to the particular scene spatial frequency structure.
Publisher: Optica Publishing Group
Date: 12-10-2009
DOI: 10.1364/OL.34.003187
Publisher: SPIE
Date: 2002
DOI: 10.1117/12.450916
Publisher: IEEE
Date: 2008
Publisher: SPIE
Date: 09-2015
DOI: 10.1117/12.2189087
Publisher: SPIE
Date: 13-09-2007
DOI: 10.1117/12.731460
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2009
Publisher: SPIE
Date: 09-2015
DOI: 10.1117/12.2187459
Publisher: IEEE
Date: 07-2006
Publisher: The Optical Society
Date: 20-07-2011
DOI: 10.1364/OE.19.014976
Publisher: Optica Publishing Group
Date: 14-04-2010
DOI: 10.1364/AO.49.002326
Publisher: SPIE
Date: 21-05-2014
DOI: 10.1117/12.2053245
Publisher: The Optical Society
Date: 05-06-2018
DOI: 10.1364/OL.43.002768
Publisher: SPIE
Date: 06-2012
DOI: 10.1117/12.922623
Publisher: SPIE
Date: 19-09-2017
DOI: 10.1117/12.2274512
Publisher: The Optical Society
Date: 10-10-2016
DOI: 10.1364/OL.41.004759
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: American Meteorological Society
Date: 02-2020
Abstract: The deviation angle variance (DAV) is a parameter that characterizes the level of organization of a cloud cluster compared with a perfectly axisymmetric tropical cyclone (TC) using satellite infrared (IR) imagery, and can be used to estimate the intensity of the TC. In this study, the DAV technique is further used to analyze the relationship between satellite imagery and TC future intensity over the North Atlantic basin. The results show that the DAV of the TC changes ahead of the TC intensity change, and this can be used to predict short-term TC intensity. The DAV-IR 24-h forecast is close to the National Hurricane Center (NHC) 24-h forecast, and the bias is lower than NHC and other methods during weakening periods. Furthermore, an improved TC intensity forecast is obtained by incorporating all four satellite bands. Using SST and TC latitude as the other two predictors in a linear regression model, the RMSE and MAE of the DAV 24-h forecast are 13.7 and 10.9 kt (1 kt ≈ 0.51 m s−1), respectively, and the skill space of the DAV is about 5.5% relative to the Statistical Hurricane Intensity Forecast model with inland decay (Decay-SHIFOR) during TC weakening periods. Considering the DAV is an independent intensity technique, it could potentially add value as a member of the suite of operational intensity forecast techniques, especially during TC weakening periods.
Publisher: SPIE
Date: 04-05-2016
DOI: 10.1117/12.2230052
Publisher: Optica Publishing Group
Date: 15-05-2009
DOI: 10.1364/OE.17.009112
Abstract: Microgrid polarimeters are composed of an array of micro-polarizing elements overlaid upon an FPA sensor. In the past decade systems have been designed and built in all regions of the optical spectrum. These systems have rugged, compact designs and the ability to obtain a complete set of polarimetric measurements during a single image capture. However, these systems acquire the polarization measurements through spatial modulation and each measurement has a varying instantaneous field-of-view (IFOV). When these measurements are combined to estimate the polarization images, strong edge artifacts are present that severely degrade the estimated polarization imagery. These artifacts can be reduced when interpolation strategies are first applied to the intensity data prior to Stokes vector estimation. Here we formally study IFOV error and the performance of several bilinear interpolation strategies used for reducing it.
Publisher: Optica Publishing Group
Date: 10-2006
DOI: 10.1364/AO.45.007224
Abstract: It has recently been reported that by using a spectral-tuning algorithm, the photocurrents of multiple detectors with spectrally overlapping responsivities can be optimally combined to synthesize, within certain limits, the response of a detector with an arbitrary responsivity. However, it is known that the presence of noise in the photocurrent can degrade the performance of this algorithm significantly, depending on the choice of the responsivity spectrum to be synthesized. We generalize this algorithm to accommodate noise. The results are applied to quantum-dot mid-infrared detectors with bias-dependent spectral responses. Simulation and experiment are used to show the ability of the algorithm to reduce the adverse effect of noise on its spectral-tuning capability.
Publisher: SPIE
Date: 29-12-2004
DOI: 10.1117/12.571326
Publisher: American Meteorological Society
Date: 10-2016
Abstract: This study extends past research based on the deviation angle variance (DAV) technique that utilizes digital brightness temperatures from longwave infrared satellite images to objectively measure the symmetry of a tropical cyclone (TC). In previous work, the single-pixel DAV values were used as an objective estimator of storm intensity while maps of the DAV values indicated areas where tropical cyclogenesis was occurring. In this study the spatial information in the DAV maps is utilized along with information from the Cooperative Institute for Research in the Atmosphere’s extended best-track archive and the Statistical Hurricane Intensity Prediction Scheme model to create multiple linear regression models of wind radii parameters for TCs in the North Atlantic basin. These models are used to estimate both symmetric, and by quadrant, 34-, 50-, and 64-kt wind radii (where 1 kt = 0.51 m s−1 1) on a half-hourly time scale. The symmetric model assumes azimuthal symmetry and has mean absolute errors of 38.5, 23.2, and 13.5 km (20.8, 12.5, and 7.3 n mi) for the 34-, 50-, and 64-kt wind radii, respectively, which are lower than results for most other techniques except for those based on AMSU. The asymmetric model independently estimates radii in each quadrant and produces mean absolute errors for the wind radii that are generally highest in the northwest quadrant and lowest in the southwest quadrant similar to other techniques. However, as a percentage of the average wind radii from aircraft reconnaissance, all quadrants have similar errors.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2009
Publisher: SPIE
Date: 27-09-2013
DOI: 10.1117/12.2023849
Publisher: Optica Publishing Group
Date: 02-2005
Abstract: A generalization of a recently developed algebraic scene-based nonuniformity correction algorithm for focal plane array (FPA) sensors is presented. The new technique uses pairs of image frames exhibiting arbitrary one- or two-dimensional translational motion to compute compensator quantities that are then used to remove nonuniformity in the bias of the FPA response. Unlike its predecessor, the generalization does not require the use of either a blackbody calibration target or a shutter. The algorithm has a low computational overhead, lending itself to real-time hardware implementation. The high-quality correction ability of this technique is demonstrated through application to real IR data from both cooled and uncooled infrared FPAs. A theoretical and experimental error analysis is performed to study the accuracy of the bias compensator estimates in the presence of two main sources of error.
Publisher: Optica Publishing Group
Date: 24-05-2021
DOI: 10.1364/OE.426072
Abstract: A channeled Stokes polarimeter that recovers polarimetric signatures across the scene from the modulation induced channels is preferrable for many polarimetric sensing applications. Conventional channeled systems that isolate the intended channels with low-pass filters are sensitive to channel crosstalk effects, and the filters have to be optimized based on the bandwidth profile of scene of interest before applying to each particular scenes to be measured. Here, we introduce a machine learning based channel filtering framework for channeled polarimeters. The machines are trained to predict anti-aliasing filters according to the distribution of the measured data adaptively. A conventional snapshot Stokes polarimeter is simulated to present our machine learning based channel filtering framework. Finally, we demonstrate the advantage of our filtering framework through the comparison of reconstructed polarimetric images with the conventional image reconstruction procedure.
Publisher: SPIE
Date: 14-05-2018
DOI: 10.1117/12.2309847
Publisher: The Optical Society
Date: 27-08-2012
Publisher: American Meteorological Society
Date: 06-2014
Abstract: The deviation-angle variance technique (DAV-T), which was introduced in the North Atlantic basin for tropical cyclone (TC) intensity estimation, is adapted for use in the North Pacific Ocean using the “best-track center” application of the DAV. The adaptations include changes in preprocessing for different data sources [Geostationary Operational Environmental Satellite-East (GOES-E) in the Atlantic, stitched GOES-E–Geostationary Operational Environmental Satellite-West (GOES-W) in the eastern North Pacific, and the Multifunctional Transport Satellite (MTSAT) in the western North Pacific], and retraining the algorithm parameters for different basins. Over the 2007–11 period, DAV-T intensity estimation in the western North Pacific results in a root-mean-square intensity error (RMSE, as measured by the maximum sustained surface winds) of 14.3 kt (1 kt ≈ 0.51 m s−1) when compared to the Joint Typhoon Warning Center best track, utilizing all TCs to train and test the algorithm. The RMSE obtained when testing on an in idual year and training with the remaining set lies between 12.9 and 15.1 kt. In the eastern North Pacific the DAV-T produces an RMSE of 13.4 kt utilizing all TCs in 2005–11 when compared with the National Hurricane Center best track. The RMSE for in idual years lies between 9.4 and 16.9 kt. The complex environment in the western North Pacific led to an extension to the DAV-T that includes two different radii of computation, producing a parametric surface that relates TC axisymmetry to intensity. The overall RMSE is reduced by an average of 1.3 kt in the western North Pacific and 0.8 kt in the eastern North Pacific. These results for the North Pacific are comparable with previously reported results using the DAV for the North Atlantic basin.
Publisher: Optica Publishing Group
Date: 17-02-2023
DOI: 10.1364/AO.478737
Abstract: Analysis of data generated by Mueller matrix polarimeters using two photoelastic modulators has been evolving with the improvements in data acquisition and digital signal processing (DSP). Historical processing of the temporal data generated by these devices has involved isolating the frequencies via hardware signal processing (e.g., lock-in lifiers) or the numerical computation of Fourier integrals of recorded temporal data. Both avenues have their advantages, but the DSP aspects of the latter provide greater flexibility in choice of harmonics for processing. While conventional processing uses one harmonic for each desired Mueller matrix element, recent work has demonstrated that theoretical improvements are possible by coherently combining the information in multiple harmonic channels for each element. We demonstrate some recent progress in DSP that enables these polarimeters’ data to be more fully exploited by addressing two key issues in the Fourier domain: spectral leakage and phase recovery. Adequately addressing these issues enables numerical analysis of the temporal data in the complex Fourier domain and delivers Mueller matrix results in which spectral phase information is used to recover the matrix elements and determine their signs automatically. We explore the application of this complex analysis and how the precision and accuracy of the results are affected by common experimental and DSP limitations compared to the usual magnitude-only analysis in the Fourier domain. The multi-harmonic method can provide a theoretical factor of 1.3–1.7 improvement in instrumental precision, and our experimental results approach that theoretical range.
Publisher: IEEE
Date: 06-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2001
DOI: 10.1109/8.943310
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Publisher: Optica Publishing Group
Date: 08-2006
DOI: 10.1364/AO.45.005453
Abstract: Imaging polarimetry has emerged over the past three decades as a powerful tool to enhance the information available in a variety of remote sensing applications. We discuss the foundations of passive imaging polarimetry, the phenomenological reasons for designing a polarimetric sensor, and the primary architectures that have been exploited for developing imaging polarimeters. Considerations on imaging polarimeters such as calibration, optimization, and error performance are also discussed. We review many important sources and ex les from the scientific literature.
Publisher: Optica Publishing Group
Date: 08-2006
DOI: 10.1364/AO.45.005451
Abstract: This Polarization in Remote Sensing special issue of Applied Optics presents 11 papers that describe research in polarization measurements and applications. The subject matter covered ranges from a review of passive imaging polarimetry, the first paper, to a presentation of twilight atmospheric polarization measurements, the last.
Publisher: IEEE
Date: 07-2010
Publisher: IEEE
Date: 07-2008
Publisher: SPIE
Date: 06-09-2019
DOI: 10.1117/12.2529562
Publisher: SPIE
Date: 05-05-2006
DOI: 10.1117/12.666773
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2000
DOI: 10.1109/27.901245
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2000
DOI: 10.1109/27.901244
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2011
Publisher: Optica Publishing Group
Date: 06-05-2020
DOI: 10.1364/JOSAA.385335
Abstract: Snapshot channeled polarimeters forgo temporal modulation in favor of modulating polarization information in either space or wavenumber. We have recently introduced methodologies for describing both channeled and partial polarimeters. In this paper, we focus on the nine-reconstructables design, which limits the resolution loss by reducing the number of carriers. The architecture offers a number of favorable trade-offs: a factor of 5.44 increase in spatial bandwidth or a factor of 3.67 increase in spectral bandwidth, for a smaller amount of temporal bandwidth loss as dictated by the number of snapshots taken. The multi-snapshot structured decomposition given here allows one to analytically shape the measured space with optimal noise characteristics and minimum system complexity. A two-snapshot system can measure a premeditated set of 14 reconstructables we provide the null space for the subset of optimal systems that also achieve better SNR than the baseline single-snapshot system. A three-snapshot system can measure all 16 Mueller elements while offering an overall 26.3% or 50.4% better bandwidth-SNR figure of merit for the spectral and spatial systems, respectively. Finally, four-snapshot systems provide diminishing returns, but may be more implementable.
Publisher: Optica Publishing Group
Date: 09-2021
DOI: 10.1364/OL.436031
Abstract: Channeled spectropolarimetry (CSP) employing low-pass channel extraction filters suffers from cross talk and spectral resolution loss. These are aggravated by empirically defining the shape and scope of the filters for different measured. Here, we propose a convolutional deep-neural-network-based channel filtering framework for spectrally–temporally modulated CSP. The network is trained to adaptively predict spectral magnitude filters (SMFs) that possess wide bandwidths and anti-cross-talk features that adapt to scene data in the two-dimensional Fourier domain. Mixed filters that combine the advantages of low-pass filters and SMFs demonstrate superior performance in reconstruction accuracy.
Publisher: SPIE
Date: 04-11-2004
DOI: 10.1117/12.557650
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Publisher: The Optical Society
Date: 12-05-2017
DOI: 10.1364/OE.25.011954
Publisher: The Optical Society
Date: 14-03-2012
DOI: 10.1364/OL.37.001097
Publisher: IEEE
Date: 06-2016
Publisher: SPIE
Date: 06-09-2019
DOI: 10.1117/12.2530305
Publisher: IEEE
Date: 09-2013
Publisher: Optica Publishing Group
Date: 19-01-2021
DOI: 10.1364/AO.412963
Abstract: Spatiotemporally modulated polarimeters have shown promising imaging performance by leveraging the tradeoff between spatial bandwidth and temporal bandwidth to outperform polarimeters that use spatial or temporal modulation alone. However, the existing separable modulation strategy, in which the spatial carriers are generated independently from the temporal carriers, makes such devices sensitive to the systematic errors of the rotation element inevitably. In this paper, we propose two novel strategies that have spatiotemporal modulation that is inherently mixed. The method enables different elements of the Mueller matrix to be used to create the carriers, reducing the effects of systematic errors in different ways. We present the indepth comparison of the channel structure and the reconstruction accuracy of each modulation strategy in various bandwidth scenarios under the presence of systematic error. Simulation results show that the nonseparable modulation can provide higher reconstruction accuracy of polarimetric information as compared to the separable strategy.
Publisher: American Meteorological Society
Date: 12-2015
Abstract: The deviation angle variance technique (DAV-T) for genesis detection is applied in the western and eastern North Pacific basins. The DAV-T quantifies the axisymmetric organization of cloud clusters using infrared brightness temperature. Since axisymmetry is typically correlated with intensity, the technique can be used to identify relatively high levels of organization at early stages of storm life cycles associated with tropical cyclogenesis. In addition, the technique can be used to automatically track cloud clusters that exhibit signs of organization. In the western North Pacific, automated tracking results for the 2009–11 typhoon seasons show that for a false alarm rate of 25.6%, 96.8% of developing tropical cyclones are detected with a median time of 18.5 h before the cluster reaches an intensity of 30 knots (kt 1 kt = 0.51 m s −1 ) in the Joint Typhoon Warning Center best track at a DAV threshold of 1750° 2 . In the eastern North Pacific, for a false alarm rate of 38.0%, the system detects 92.9% of developing tropical cyclones with a median time of 1.25 h before the cluster reaches an intensity of 30 kt in the National Hurricane Center best track during the 2009–11 hurricane seasons at a DAV threshold of 1650° 2 . A significant decrease in tracked nondeveloping clusters occurs when a second organization threshold is introduced, particularly in the western North Pacific.
Publisher: The Optical Society
Date: 06-03-2012
DOI: 10.1364/OE.20.006561
Publisher: IEEE
Date: 03-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2014
Publisher: Optica Publishing Group
Date: 2000
Abstract: Polarization-difference (PD) imaging techniques have been demonstrated to improve the detectability of target features that are embedded in scattering media. The improved detectability occurs for both passive imaging in moderately scattering media (<5 optical depths) and active imaging in more highly scattering media. These improvements are relative to what is possible with equivalent polarization-blind, polarization-sum (PS) imaging under the same conditions. In this investigation, the point-spread functions (PSF's) for passive PS and PD imaging in single-scattering media are studied analytically, and Monte Carlo simulations are used to study the PSF's in single- and moderately multiple-scattering media. The results indicate that the PD PSF can be significantly narrower than the corresponding PS PSF, implying that better images of target features with high-spatial-frequency information can be obtained by using differential polarimetry in scattering media. Although the analysis was performed for passive imaging at moderate optical depths, the results lend insight into experiments that have been performed in more highly scattering media with active imaging methods to help mitigate the effects of multiple scattering.
Publisher: IEEE
Date: 07-2012
Publisher: SPIE
Date: 09-2015
DOI: 10.1117/12.2188675
Publisher: SPIE
Date: 30-09-2013
DOI: 10.1117/12.2023080
Publisher: SPIE
Date: 13-09-2007
DOI: 10.1117/12.737439
Publisher: SPIE
Date: 20-10-2014
DOI: 10.1117/12.2064855
Publisher: IEEE
Date: 03-2011
Publisher: The Optical Society
Date: 04-02-2014
DOI: 10.1364/OE.22.003306
Publisher: American Meteorological Society
Date: 05-2011
Abstract: Intensity changes following the multistage process of extratropical transition have proven to be especially difficult to forecast because of the extremely similar storm evolutions prior to and during the first stages of the transformation from a warm-cored axisymmetric tropical storm to a cold-cored asymmetrical extratropical low pressure system. In this study, differences in surrounding synoptic environments between dissipating and reintensifying extratropical transitioning tropical cyclones are used to develop a predictive technique for extratropical transition intensity change that can be used to enhance the standard numerical guidance. Using a set of all historical transitioning storms between 2000 and 2008 in the western North Pacific, common differences between 850-hPa potential temperature fields surrounding extratropical transition intensifiers and extratropical transition dissipaters, respectively, were identified. These features were then used as inputs into a support vector machine classification system in the hopes of creating a robust prediction system. Once the system was trained on a random subset of the data (80%), performance was tested on the remaining test set (20%). Overall, it was found that the prediction system was able to correctly predict extratropical transition intensity outcome in & % of the test cases at 72 h prior to extratropical transition. This paper discusses the feature selection and classification system used, as well as the performance results, in detail.
Publisher: SPIE-Intl Soc Optical Eng
Date: 03-10-2014
Publisher: SPIE-Intl Soc Optical Eng
Date: 04-2008
DOI: 10.1117/1.2911715
Publisher: SPIE
Date: 15-10-2004
DOI: 10.1117/12.560116
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2010
Publisher: IEEE
Date: 07-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2014
Publisher: IEEE
Date: 08-2011
Publisher: SPIE
Date: 25-09-2017
DOI: 10.1117/12.2274254
Publisher: SPIE
Date: 03-04-2008
DOI: 10.1117/12.783079
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2015
Publisher: The Optical Society
Date: 20-03-2018
DOI: 10.1364/AO.57.002327
Publisher: Springer Science and Business Media LLC
Date: 24-03-2015
DOI: 10.1038/SREP09416
Abstract: Vectorial vortex analysis is used to determine the polarization states of an arbitrarily polarized terahertz (0.1–1.6 THz) beam using THz achromatic axially symmetric wave (TAS) plates, which have a phase retardance of Δ = 163° and are made of polytetrafluorethylene. Polarized THz beams are converted into THz vectorial vortex beams with no spatial or wavelength dispersion and the unknown polarization states of the incident THz beams are reconstructed. The polarization determination is also demonstrated at frequencies of 0.16 and 0.36 THz. The results obtained by solving the inverse source problem agree with the values used in the experiments. This vectorial vortex analysis enables a determination of the polarization states of the incident THz beam from the THz image. The polarization states of the beams are estimated after they pass through the TAS plates. The results validate this new approach to polarization detection for intense THz sources. It could find application in such cutting edge areas of physics as nonlinear THz photonics and plasmon excitation, because TAS plates not only instantaneously elucidate the polarization of an enclosed THz beam but can also passively control THz vectorial vortex beams.
Publisher: SPIE
Date: 06-2012
DOI: 10.1117/12.921947
Publisher: The Optical Society
Date: 26-11-2018
DOI: 10.1364/OL.43.005789
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2003
Publisher: The Optical Society
Date: 23-12-2011
Publisher: Optica Publishing Group
Date: 20-03-2001
DOI: 10.1364/AO.40.001450
Abstract: An imaging, variable-retardance, Fourier-transform spectropolarimeter is presented that is capable of creating spectropolarimetric images of scenes with independent characterization of spatial, spectral, and polarimetric information. The device has a spectral resolution of approximately 225 cm(-1), making it truly hyperspectral in nature. Images of canonical targets such as spheres and cylinders obtained in a laboratory setup are presented. The results demonstrate the capability of developing systems to collect spectropolarimetric data of field images by use of the concept of pushbroom scanning and serial collection of polarimetric information. Further development of a parallelized collection strategy would allow the collection of near-real-time images of real-world targets.
Publisher: American Meteorological Society
Date: 12-2010
Abstract: As a tropical cyclone moves poleward and interacts with the midlatitude circulation, the question of whether it will undergo extratropical transition (ET) and, if it does, whether it will reintensify or dissipate, is a complex problem. Uncertainties include the tropical cyclone, the midlatitude circulation, the subtropical anticyclone, and the nonlinear interactions among these systems. A large part of the uncertainty is due to a lack of an understanding of when extratropical transition begins and how it progresses. In this study, absolute potential vorticity and isentropic, or Ertel’s, potential vorticity is examined for its ability to more consistently determine significant times (i.e., beginning or end) of the ET life cycle using the Navy Operational Global Assimilation and Prediction System gridded analyses. It is found that isentropic potential vorticity on the 330-K potential temperature isentropic level is a good discriminator for examining the extratropical transition of tropical cyclones. At this level, a consistent “ET time” is defined as when the TC-centered circular average of isentropic potential vorticity reaches a minimum value. All 82 tropical cyclones moving into the midlatitudes meet this criterion. The completion of extratropical transition for the reintensifying cases is defined as when the storm exceeds an isentropic potential vorticity threshold value of 1.6 PVU at the 330-K potential temperature isentropic level. The success rate of this threshold value for the completion of extratropical transition for the reintensification cases is found to be 94.3% with a 27.6% false-alarm rate.
Publisher: IEEE
Date: 10-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2005
Publisher: SPIE
Date: 27-09-2013
DOI: 10.1117/12.2023351
Publisher: IEEE
Date: 07-2014
Publisher: Optica Publishing Group
Date: 25-09-2006
DOI: 10.1364/OL.31.002984
Abstract: The direct, instantaneous measurement of the Stokes parameters of optical radiation is not possible using only a single detector. To infer the Stokes parameters in an image, the optical intensity must be modulated in time, space, or spectral characteristics and multiple measurements must be made on a pixel-by-pixel basis across the scene. Most existing imaging polarimetry strategies generally suffer from either spatial or temporal misregistration. Those strategies that do not suffer from misregistration have severe restrictions placed on the spectral properties of the illumination and/or optical system. A hybrid polarimeter is proposed that can be used for broadband imaging applications that, in principle, can be made without any temporal or spatial misalignment and that does not require detailed knowledge of the spectral properties of the radiation. The strategy uses arrays of microlenses and micropolarizers to create a high-resolution spatial array of nonimaging ision of aperture polarimeters.
Publisher: Optica Publishing Group
Date: 02-2002
DOI: 10.1364/AO.41.000619
Abstract: The relationship between system condition and signal-to-noise ratio (SNR) in reconstructed Stokes parameter images is investigated for rotating compensator, variable retardance, and rotating analyzer Stokes vector (SV) polarimeters. A variety of optimal configurations are presented for each class of systems. The operation of polarimeters is discussed in terms of a four-dimensional conical vector space and the concept of nonorthogonal bases, frames, and tight frames is introduced to describe the operation of SV polarimeters. Although SNR is an important consideration, performance of a polarimeter in the presence of errors in the calibration and alignment of the optical components is also important. The relationship between system condition and error performance is investigated, and it is shown that an optimum system from the point of view of SNR is not always an optimum system with respect to error performance. A detailed theory of error performance is presented, and the error of a SV polarimeter is shown to be related to the stability and condition number of the polarization processing matrices. The rms error is found to fall off as the inverse of the number of measurements taken. Finally, the concepts used to optimize SV polarimeters are extended to be useful for full Mueller matrix polarimeters.
Publisher: Optica Publishing Group
Date: 22-09-2008
Abstract: Traditional spectral sensors are intentionally designed to minimize overlap among spectral response functions of different bands. In contrast, some emerging classes of spectral sensors exhibit significant band overlap. An effect introduced by such band overlap is that the photodetector noise of one band is coupled into the others in subsequent data processing steps. Because of this, the traditional band-by-band definition of signal-to-noise ratio (SNR) cannot fully describe the detector's noise level. We devise a general definition of SNR in spectral space based on a recently developed geometrical spectral imaging model [J. Opt. Soc. Am. A24, 2864 (2007)]. With this model, we can find an orthogonal basis of the spectral response functions for the spectral sensor with decreasing instrument SNRs. We can also define the average instrument SNR for the whole sensor, which makes it possible to characterize quantitatively the photodetector noise of a spectral sensor with correlated bands.
Publisher: IEEE
Date: 05-07-2020
Publisher: The Optical Society
Date: 11-04-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2004
Publisher: SPIE
Date: 08-2021
DOI: 10.1117/12.2596129
Publisher: SPIE
Date: 15-11-2000
DOI: 10.1117/12.406582
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
Publisher: SPIE
Date: 24-09-2003
DOI: 10.1117/12.487475
Publisher: The Optical Society
Date: 23-01-2017
DOI: 10.1364/OL.42.000458
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2002
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2007
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Optica Publishing Group
Date: 2004
Publisher: SPIE
Date: 06-2005
DOI: 10.1117/12.610638
Publisher: The Optical Society
Date: 18-06-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2004
Publisher: IEEE
Date: 07-2018
Publisher: SPIE
Date: 15-11-2000
DOI: 10.1117/12.406599
Publisher: SPIE
Date: 15-08-2001
DOI: 10.1117/12.436931
Publisher: SPIE
Date: 05-05-2006
DOI: 10.1117/12.666595
Publisher: SPIE
Date: 19-09-2017
DOI: 10.1117/12.2274586
Publisher: SPIE
Date: 18-08-2005
DOI: 10.1117/12.624109
Publisher: SPIE
Date: 16-05-2018
DOI: 10.1117/12.2304678
Publisher: SPIE
Date: 20-08-2009
DOI: 10.1117/12.823849
Publisher: SPIE
Date: 20-08-2009
DOI: 10.1117/12.823846
Publisher: IEEE
Date: 07-2013
Publisher: Optica Publishing Group
Date: 2007
DOI: 10.1364/OE.15.015161
Publisher: SPIE
Date: 20-08-2009
DOI: 10.1117/12.823890
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: SPIE
Date: 04-05-2016
DOI: 10.1117/12.2228442
Publisher: SPIE
Date: 06-2012
DOI: 10.1117/12.921911
Publisher: SPIE
Date: 13-09-2007
DOI: 10.1117/12.732480
Publisher: SPIE
Date: 03-09-2015
DOI: 10.1117/12.2190134
Publisher: The Optical Society
Date: 20-09-2019
DOI: 10.1364/OE.27.028423
Publisher: SPIE
Date: 03-08-2021
DOI: 10.1117/12.2596149
Publisher: SPIE
Date: 13-09-2007
DOI: 10.1117/12.735639
Publisher: SPIE
Date: 08-2021
DOI: 10.1117/12.2596148
Publisher: SPIE
Date: 09-09-2011
DOI: 10.1117/12.893249
Publisher: Optica Publishing Group
Date: 25-08-2008
Abstract: Variable coherence tomography (VCT) was recently developed by Baleine and Dogariu for the purpose of directly sensing the second-order statistical properties of a randomly scattering volume [J. Opt. Soc. Am. A21, 1917 (2004)]. In this paper we generalize the theory of VCT to include polarized inputs and anisotropic scatterers. In general the measurement of the scattered coherency matrix or Stokes vector is not adequate to describe the scattering, as these quantities depend on the coherence state of the incident beam. However, by controlling the polarized coherence properties of the source beam, VCT can be generalized to probe the polarimetric scattering properties of objects from a single-point Stokes vector or coherency matrix measurements. With polarized VCT, we are able to design a method that can measure analogous information to the polarimetric bidirectional reflection distribution function (BRDF), but do it from monostatic data. This capability would allow the BRDF to be measured remotely without having to adjust either the incident or observation angle with respect to the target.
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: IEEE
Date: 1999
Publisher: SPIE
Date: 08-09-2017
DOI: 10.1117/12.2272262
Publisher: SPIE
Date: 25-08-2003
DOI: 10.1117/12.487347
Publisher: Optica Publishing Group
Date: 15-08-2000
DOI: 10.1364/OL.25.001198
Abstract: An imaging variable retardance polarimeter was developed and tested by Tyo and Turner [Proc. SPIE 3753, 214 (1999)]. The signal-to-noise ratio (SNR) in the reconstructed polarization images obtained with this system varied for the four Stokes parameters. The difference in SNR is determined to be due to differences in the Euclidean lengths of the rows of the synthesis matrix used to reconstruct the Stokes parameters from the measured intensity data. I equalize (and minimize) the lengths of the rows of this matrix by minimizing the condition number of the synthesis matrix, thereby maximizing the relative importance of each of the polarimeter measurements. The performance of the optimized system is demonstrated with simulated data, and the SNR is shown to increase from a worst case of -3.1 dB for the original settings to a worst case of +5.0 dB for the optimized system.
Publisher: The Optical Society
Date: 10-05-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: SPIE
Date: 11-01-2002
DOI: 10.1117/12.452903
Publisher: SPIE
Date: 09-09-2011
DOI: 10.1117/12.896068
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2001
DOI: 10.1109/8.923322
Publisher: SPIE
Date: 18-08-2005
DOI: 10.1117/12.613658
Publisher: Optica Publishing Group
Date: 14-10-2020
DOI: 10.1364/AO.404623
Abstract: Channeled spectropolarimeters (CSPs) are capable of estimating spectrally resolved Stokes parameters from a single modulated spectrum. However, channel crosstalk and subsequent spectral resolution loss reduce the reconstruction accuracy and limit the systems’ scope of application. In this paper, we propose a spectral–temporal modulation strategy with the aim of extending channel bandwidth and improving reconstruction accuracy by leveraging the hybrid carriers and allocating channels in the two-dimensional Fourier domain that yield optimal performance. The scheme enables spectral bandwidth and temporal bandwidth to be traded off, and provides flexibility in selecting demodulation strategies based on the features of the input. We present an in-depth comparison of different systems’ performances in various input features under the presence of noise. Simulation results show that the hybrid-modulation strategy offers the best comprehensive performance as compared to the conventional CSP and dual-scan techniques.
Publisher: IEEE
Date: 07-2011
Publisher: SPIE
Date: 02-11-2004
DOI: 10.1117/12.557902
Publisher: SPIE-Intl Soc Optical Eng
Date: 17-03-2014
Publisher: Optica Publishing Group
Date: 2007
DOI: 10.1364/OE.15.007596
Abstract: LWIR imaging arrays are often affected by nonresponsive pixels, or "dead pixels." These dead pixels can severely degrade the quality of imagery and often have to be replaced before subsequent image processing and display of the imagery data. For LWIR arrays that are integrated with arrays of micropolarizers, the problem of dead pixels is lified. Conventional dead pixel replacement (DPR) strategies cannot be employed since neighboring pixels are of different polarizations. In this paper we present two DPR schemes. The first is a modified nearest-neighbor replacement method. The second is a method based on redundancy in the polarization measurements.We find that the redundancy-based DPR scheme provides an order-of-magnitude better performance for typical LWIR polarimetric data.
Publisher: SPIE
Date: 08-09-2011
DOI: 10.1117/12.893826
Publisher: SPIE-Intl Soc Optical Eng
Date: 03-04-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2006
Publisher: IEEE
Date: 2004
Publisher: SPIE
Date: 05-05-2006
DOI: 10.1117/12.665742
Publisher: SPIE
Date: 13-09-2007
DOI: 10.1117/12.732495
Publisher: American Meteorological Society
Date: 12-2010
Abstract: As a tropical cyclone moves poleward and interacts with the midlatitude circulation, the question of whether it will undergo extratropical transition (ET) and, if it does, whether it will reintensify or dissipate, is a complex problem. Several quantities have been proposed in previous studies to describe extratropical transition including frontogenesis, 500-hPa geopotential heights, and cyclone phase-space parameters. In this study, these parameters are explored for their utility in defining an ET time using the Navy’s Operational Global Assimilation and Prediction System gridded analyses. The 500-hPa geopotential heights and frontogenesis currently do not have objective numerical definitions. Therefore, this study attempts to establish and examine threshold values that may be used to objectively define the ET time. Cyclone phase space already has numerical threshold values that can be examined. Results show that the 500-hPa geopotential height open wave distinguishes 81 of 82 cases, but it fails to discriminate between transitioning ET and recurving non-ET cases and cannot be determined automatically. The 2D scalar frontogenesis distinguishes 77 of 82 cases but does not discriminate between transitioning ET and recurving non-ET cases. Finally, phase space successfully distinguishes 81 of 82 cases for the “ET time” defined by the asymmetry parameter but is only successful at capturing transitioning ET and recurving non-ET cases properly for 60 of 82 cases. All of the definitions are found to have disadvantages that preclude them from providing consistent guidance for when extratropical transition of a poleward-recurving tropical cyclone is occurring.
Publisher: SPIE
Date: 20-08-2009
DOI: 10.1117/12.825142
Publisher: American Meteorological Society
Date: 04-06-2012
Abstract: This paper describes results from an improvement to the objective deviation angle variance technique to estimate the intensity of tropical cyclones from satellite infrared imagery in the North Atlantic basin. The technique quantifies the level of organization of the infrared cloud signature of a tropical cyclone as an indirect measurement of its maximum wind speed. The major change described here is to use the National Hurricane Center’s best-track database to constrain the technique. Results are shown for the 2004–10 North Atlantic hurricane seasons and include an overall root-mean-square intensity error of 12.9 kt (6.6 m s−1, where 1 kt = 0.514 m s−1) and annual root-mean-square intensity errors ranging from 10.3 to 14.1 kt. A direct comparison between the previous version and the one reported here shows root-mean-square intensity error improvements in all years with a best improvement in 2009 from 17.9 to 10.6 kt and an overall improvement from 14.8 to 12.9 kt. In addition, s les from the 7-yr period are binned based on level of intensity and on the strength of environmental vertical wind shear as extracted from Statistical Hurricane Intensity Prediction Scheme (SHIPS) data. Preliminary results suggest that the deviation angle variance technique performs best at the weakest intensity categories of tropical storm through hurricane category 3, representing 90% of the s les, and then degrades in performance for hurricane categories 4 and 5. For environmental vertical wind shear, there is far less spread in the results with the technique performing better with increasing vertical wind shear.
Publisher: SPIE
Date: 21-01-2002
DOI: 10.1117/12.453336
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2010
Publisher: SPIE-Intl Soc Optical Eng
Date: 10-07-2019
Publisher: SPIE
Date: 02-09-2002
DOI: 10.1117/12.451958
Publisher: SPIE
Date: 09-09-2011
DOI: 10.1117/12.895552
Publisher: IEEE
Date: 07-2013
Start Date: 2021
End Date: 12-2024
Amount: $373,000.00
Funder: Australian Research Council
View Funded Activity