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
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
Algorithms for change detection based on finite sample system identification theory. Detection of abrupt changes has many important applications. One particular application that will be investigated is leak detection in irrigation channels. As agriculture accounts for about 80% of Australia's water usage, the timely detection of leaks means that corrective actions can be taken early which will lead to large water savings and significant environmental benefits. The developed methods can be design ....Algorithms for change detection based on finite sample system identification theory. Detection of abrupt changes has many important applications. One particular application that will be investigated is leak detection in irrigation channels. As agriculture accounts for about 80% of Australia's water usage, the timely detection of leaks means that corrective actions can be taken early which will lead to large water savings and significant environmental benefits. The developed methods can be designed with any false alarm rate. This is important since frequent false alarms lead to wasted resources and operators will stop using the system. The technology once developed can be transferred to many other application areas such as urban water supplies, pipelines for oil and gas, and the process and manufacturing industries.Read moreRead less
A new perturbation method for solving singular operator equations with applications to complex systems. This project will develop new methods for analysis of web-based search routines such as Google PageRank, a new algorithm for optimal estimation of random signals, more accurate error analysis in the approximate solution of singular systems of equations and enhanced understanding of models for the simulated management of urban stormwater. The project will involve collaboration between two Aus ....A new perturbation method for solving singular operator equations with applications to complex systems. This project will develop new methods for analysis of web-based search routines such as Google PageRank, a new algorithm for optimal estimation of random signals, more accurate error analysis in the approximate solution of singular systems of equations and enhanced understanding of models for the simulated management of urban stormwater. The project will involve collaboration between two Australian universities and a leading European Research Institute. It will provide employment and vital training for two postdoctoral Research fellows and research projects for three postgraduate students and two honours students.Read moreRead less
Competition and Collaboration in the Market for Digital Publishing. This is a pioneer, in-depth analysis of the shifting relationships and alliances between key stakeholders in digital publishing, in a context of complexity, rapid technological change and Australian involvement in high value electronic information service markets. Using a multi-staged approach, the project aims to identify the fundamental requirements and expectations of key stakeholders in digital publishing. The outcomes will ....Competition and Collaboration in the Market for Digital Publishing. This is a pioneer, in-depth analysis of the shifting relationships and alliances between key stakeholders in digital publishing, in a context of complexity, rapid technological change and Australian involvement in high value electronic information service markets. Using a multi-staged approach, the project aims to identify the fundamental requirements and expectations of key stakeholders in digital publishing. The outcomes will include an ecological analysis of the digital publishing space and a redefinition of value propositions and business models with practical significance for Australia's participation in the information economy in general, and for the development of the digital publishing industry in particular. Read moreRead less
PreferPeer: Towards Efficient Location-aware Preference Search in Mobile Peer-to-Peer Databases. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing in very large scale highly mobile data. The proposed PreferPeer stands to open up major research directions in mobile point-to-point computing. Advances in this project will bring significant economic and social benefits to Austral ....PreferPeer: Towards Efficient Location-aware Preference Search in Mobile Peer-to-Peer Databases. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing in very large scale highly mobile data. The proposed PreferPeer stands to open up major research directions in mobile point-to-point computing. Advances in this project will bring significant economic and social benefits to Australia. The research outcome of this project will directly benefit the following sectors: telecommunications, transportation, supply chain management, logistics, mobile computing, mobile e-commerce and marketing, air traffic control, defence, and so on, where efficient access to large amounts of highly mobile and distributed information is vital.Read moreRead less
Exploiting Views in Extensible Markup Language (XML) Data Processing. This project addresses an important technical issue in smart information use, which is among Australian National Research Priorities. The techniques developed in this project will enable Australian organizations to build smarter and more efficient information systems, hence making them more competitive in the global market. The problems in this project are technically challenging, solving them in Australia will enhance Austr ....Exploiting Views in Extensible Markup Language (XML) Data Processing. This project addresses an important technical issue in smart information use, which is among Australian National Research Priorities. The techniques developed in this project will enable Australian organizations to build smarter and more efficient information systems, hence making them more competitive in the global market. The problems in this project are technically challenging, solving them in Australia will enhance Australia's international research reputation. The project will also boost Australia's research capability by training PhD and honours students.
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Comparative analysis and exploration of collections of data clusterings. Data clustering is an important technique for extracting knowledge from complex datasets. It is widely used by Australian science, government and industry, in areas such as genomics, proteomics, crime analysis, marketing and customer profiling. This project will develop new techniques that will allow users to explore and analyse collections of data clusterings. This will improve the current generation of clustering softw ....Comparative analysis and exploration of collections of data clusterings. Data clustering is an important technique for extracting knowledge from complex datasets. It is widely used by Australian science, government and industry, in areas such as genomics, proteomics, crime analysis, marketing and customer profiling. This project will develop new techniques that will allow users to explore and analyse collections of data clusterings. This will improve the current generation of clustering software and allow deeper investigation of challenging and complex data.
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SeqSeeker: a search engine for large numbers of very long sequences. Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are cu ....SeqSeeker: a search engine for large numbers of very long sequences. Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are currently beyond the reach of today's technology.Read moreRead less
Effective and Efficient Video Search. This project will add a much desired level of sophistication to the current data management and search technologies. Success of this project will not only establish us as an internationally leading research group but also bring significant economic and social benefits to Australia. Many Australia organizations specializing in media communication, entertainment, management and services will be benefited by saving enormous cost, improving service quality, prot ....Effective and Efficient Video Search. This project will add a much desired level of sophistication to the current data management and search technologies. Success of this project will not only establish us as an internationally leading research group but also bring significant economic and social benefits to Australia. Many Australia organizations specializing in media communication, entertainment, management and services will be benefited by saving enormous cost, improving service quality, protecting their intelligence properties, etc. It will also advance Australia's intellectual leadership in copyright compliance, benefit commercialization of research results, form strong international collaborations and networks, and underpin the National Research Priority.
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