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Modelling & Advanced Techniques
SIG Summary
MAT-SIG support the application of advanced mathematical techniques, including modelling, to remote sensing data.
SIG Activities
Mathematical models, both statistical and analytical, facilitate understanding of spatial data (and particularly remotely sensed data) and the processes that generate them. Further, the techniques that depend on such models provide powerful tools for the analysis of remotely sensed data. Often these models and techniques are confined to limited subject areas through lack of cross-disciplinary communication. The MAT SIG provides a forum for the presentation of up-to-date remote sensing research concerned with the development and application of models and techniques and an open environment for the cross-fertilization of ideas between researchers.
The SIG provides a focus for advancing research associated with new developments in models and techniques (for example, fuzzy logic, neural networks, support vector machines, geostatistics and so on). The SIG, therefore, addresses issues connected with activities such as image pre-processing, classification, mixture modelling, estimation, sampling, scaling-up, validation, data integration and visualization. The SIG, however, also covers all aspects of spatial analysis for the handling of remotely sensed data and should compliment the activities of other SIGs.
SIG Convenor
Tristan Quaife
