Application of Advanced Geomatic Techniques to Heritage Recording of Greek Antiquities. Heritage recording documents archaeological sites for the benefit of future research and also to assess site degradation. This project combines the latest laser scanning technology, available through the ARC-funded LASCAN consortium, with satellite-based and digital photogrammetric survey techniques to develop a unique methodology for precise 3D recording of such sites. Records of archaeological test sites in ....Application of Advanced Geomatic Techniques to Heritage Recording of Greek Antiquities. Heritage recording documents archaeological sites for the benefit of future research and also to assess site degradation. This project combines the latest laser scanning technology, available through the ARC-funded LASCAN consortium, with satellite-based and digital photogrammetric survey techniques to develop a unique methodology for precise 3D recording of such sites. Records of archaeological test sites in Greece will contain unprecedented detail, comprising point clouds of greater than five million individual measurements, and spectral information in the infrared and visible wavebands. The large volume of data collected will be managed in a specially designed spatial database, accessible to the general public.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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Spatial and temporal monitoring of soil erosion risk with satellite imagery. This project is directed towards Sustainable farm practices, one of the national priorities in the Caring for Our Country program. The satellite image-based monitoring system will provide new information about the changing distribution of erosion risk in seasonal cropping systems, and identify areas where agricultural practices significantly influence this risk. The research will allow landholders, regional, state and n ....Spatial and temporal monitoring of soil erosion risk with satellite imagery. This project is directed towards Sustainable farm practices, one of the national priorities in the Caring for Our Country program. The satellite image-based monitoring system will provide new information about the changing distribution of erosion risk in seasonal cropping systems, and identify areas where agricultural practices significantly influence this risk. The research will allow landholders, regional, state and national authorities to better target effort towards sustainable land management, and improve monitoring and reporting of land condition across broad agricultural regions. Dynamic monitoring of erosion risk will also track landscape conditions and farmer responses to changing climate.Read moreRead less
Traffic Incidents: Reducing the Impacts. Road congestion due to traffic incidents in major urban areas adversely affects traveller safety and travel reliability, and is a significant cost burden to industry and the community in social, environmental and economic terms. This project will investigate the impact of traffic incidents, with the aim being to produce outcomes that contribute to more efficient traffic management, and specifically to reducing the incident duration. Outcomes will include ....Traffic Incidents: Reducing the Impacts. Road congestion due to traffic incidents in major urban areas adversely affects traveller safety and travel reliability, and is a significant cost burden to industry and the community in social, environmental and economic terms. This project will investigate the impact of traffic incidents, with the aim being to produce outcomes that contribute to more efficient traffic management, and specifically to reducing the incident duration. Outcomes will include the development of decision support tools to aid in policy and operational responses, as well as the development of faster and more comprehensive accident reconstruction based on spatial information technology. Read moreRead less
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
Hydraulic Systems and State Development in Early Cambodia: Mapping the Engineered Landscapes of the Khmer Using Remote Sensing. Due to recent discoveries, Australian research at Angkor, in Cambodia, has gained increasing visibility worldwide. The ARC-funded Greater Angkor Project (Discovery) and Living With Heritage project (Linkage) have produced results of international significance, developed strong long-term partnerships with Cambodian agencies and UNESCO, and have pioneered the large-scale ....Hydraulic Systems and State Development in Early Cambodia: Mapping the Engineered Landscapes of the Khmer Using Remote Sensing. Due to recent discoveries, Australian research at Angkor, in Cambodia, has gained increasing visibility worldwide. The ARC-funded Greater Angkor Project (Discovery) and Living With Heritage project (Linkage) have produced results of international significance, developed strong long-term partnerships with Cambodian agencies and UNESCO, and have pioneered the large-scale mapping of World Heritage-listed sites using airborne imaging radar systems in collaboration with NASA. This project will extend these partnerships, consolidate Australia's leading position in radar analysis methods, and continue to produce results with global implications for the understanding and management of World Heritage sites.Read moreRead less
Remote Sensing and Spatial Analysis of Native Vegetation Condition. Reversing the decline in the quality and extent of Australia's native vegetation is imperative. Site-based assessments of vegetation condition have many merits but are not practical for monitoring at regional, catchment or State levels. This research proposes an integrated approach to native vegetation assessment combining the synoptic overview of satellite based earth observation with the rigor of plot-based assessments. The ou ....Remote Sensing and Spatial Analysis of Native Vegetation Condition. Reversing the decline in the quality and extent of Australia's native vegetation is imperative. Site-based assessments of vegetation condition have many merits but are not practical for monitoring at regional, catchment or State levels. This research proposes an integrated approach to native vegetation assessment combining the synoptic overview of satellite based earth observation with the rigor of plot-based assessments. The outcomes will be an operationally feasible and quantitatively-based method for mapping vegetation condition in the context of biodiversity conservation, at a resolution that can inform decisions for managing native vegetation remnants, and at a scale that can inform regional decision-making.Read moreRead less