Enhanced Automation of Close-Range Photogrammetry for Defence and National Security Applications. The project, which falls under the National Research Priority of safeguarding Australia, will be of significant national and community benefit. The research outcomes will advance close-range photogrammetry (CRP) technology, especially in the critical areas of defence and national security. It will lower the cost base of CRP and expand its commercial potential in new application domains, thus promoti ....Enhanced Automation of Close-Range Photogrammetry for Defence and National Security Applications. The project, which falls under the National Research Priority of safeguarding Australia, will be of significant national and community benefit. The research outcomes will advance close-range photogrammetry (CRP) technology, especially in the critical areas of defence and national security. It will lower the cost base of CRP and expand its commercial potential in new application domains, thus promoting business activity in the broader Australian spatial information industry. Also, community oriented benefits will be seen through the improved prospects for new public-good applications of CRP, ranging for example from cultural heritage recording through to homeland security and forensic measurement for crime scene analysis.Read moreRead less
Generation of Digital Elevation Models by Fusion of Image and Terrain Laser Scan Data. There are currently two separate approaches to obtaining digital elevation models of the terrain surface by remote sensing, image based methods using aerial or satellite images and scanner techniques by terrain laser scanners. Each method provides elevations with high accuracy, but both require significant input from an operator during processing. It is proposed to take advantage of the synegies of these two ....Generation of Digital Elevation Models by Fusion of Image and Terrain Laser Scan Data. There are currently two separate approaches to obtaining digital elevation models of the terrain surface by remote sensing, image based methods using aerial or satellite images and scanner techniques by terrain laser scanners. Each method provides elevations with high accuracy, but both require significant input from an operator during processing. It is proposed to take advantage of the synegies of these two forms of data by combining the processing into a single solution for elevation determination by data fusion. This approach will improve the quality and efficiency of elevation determination.Read moreRead less
High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorith ....High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorithms and computational schemes will be formulated and implemented in software. These developments will then be evaluated through comprehensive experimental testing using Ikonos and Quickbird satellite imagery, with the expected project outcomes being new, experimentally validated computational models, which will advance geospatial information generation from HRSI.Read moreRead less
Digital Colour Sensing in Vision Metrology. This project will develop the necessary new image processing algorithms, computational models and signalisation strategies to facilitate a significantly higher precision measurement capability for vision metrology (VM) systems incorporating colour digital cameras. VM systems for 3D industrial and engineering measurement currently employ panchromatic digital cameras, because the colour filter arrays used in colour cameras adversely affect image mensurat ....Digital Colour Sensing in Vision Metrology. This project will develop the necessary new image processing algorithms, computational models and signalisation strategies to facilitate a significantly higher precision measurement capability for vision metrology (VM) systems incorporating colour digital cameras. VM systems for 3D industrial and engineering measurement currently employ panchromatic digital cameras, because the colour filter arrays used in colour cameras adversely affect image mensuration accuracy. Yet, off-the-shelf colour cameras are ubiquitous and have advantages of ready availability and cheaper cost. This research will overcome the limitations of colour sensors and enable both a broader range of 3D measurement applications and an enhanced commercial potential for VM.Read moreRead less
Fusion of Laser Ranging Data and Imagery for Generation of 3D Virtual Models. The creation of image texture-mapped, three-dimensional (3D) digital models of object scenes is becoming increasingly more important in virtual reality generation. Visually realistic computer models find application in reverse engineering and industrial metrology and design, but their utility is often limited by shortcomings in accuracy and completeness. This project aims, through a fusion of laser scanner data and dig ....Fusion of Laser Ranging Data and Imagery for Generation of 3D Virtual Models. The creation of image texture-mapped, three-dimensional (3D) digital models of object scenes is becoming increasingly more important in virtual reality generation. Visually realistic computer models find application in reverse engineering and industrial metrology and design, but their utility is often limited by shortcomings in accuracy and completeness. This project aims, through a fusion of laser scanner data and digital photogrammetric imagery, to develop improved mathematical models and computational systems to facilitate advances in automated 3D object reconstruction for high-definition, metrically accurate photo-realistic digital models. The principal outcome from the project will be enhanced 3D computer modelling for engineering applications.
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Geospatial Information Processing for Quickbird Satellite Imagery. Of the new generation of commercial high-resolution earth observation satellites, the Quickbird system with its 70cm resolution has greatest potential for metric applications. The capabilities of Quickbird imagery for digital mapping, GIS and geopositioning are, however, yet to be fully established and the models, procedures and computational systems required for higher-accuracy applications require further research. The aim of t ....Geospatial Information Processing for Quickbird Satellite Imagery. Of the new generation of commercial high-resolution earth observation satellites, the Quickbird system with its 70cm resolution has greatest potential for metric applications. The capabilities of Quickbird imagery for digital mapping, GIS and geopositioning are, however, yet to be fully established and the models, procedures and computational systems required for higher-accuracy applications require further research. The aim of this project, which is a collaboration with SKM, is to develop the tools necessary to validate Quickbird imagery as a source for geospatial information collection, to develop the associated data processing systems to proof-of-concept stage and to experimentally verify these systems.Read moreRead less
Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data ....Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data so that it can be interpreted in conjunction with other similar data, or existing lower resolution data. Consequently, the potential uses of high resolution satellite imagery will be greatly increased, allowing many more users to access the advantages of this unique source of data.Read moreRead less