Gordon Staples

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– This paper discusses the capability of spaceborne polarimetric C-band SAR data for sea ice detection and classification. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier was performed on SIR-C data acquired off the coast of Newfoundland in April 1994. The algorithm is used for sea ice applications for the(More)
/ RESUME When RADARSAT-2 is in operation it will be the first commercial spaceborne sensor capable of providing fully polarimetric data. The difference from airborne polarimetric data is mainly due to different sensor specifications and the differences in altitude. Using the airborne data, we simulate RADARSAT-2 standard and fine mode polarimetric data of(More)
The RADARSAT-2 program is an excellent example of public-private partnerships joining forces to, in this case, commercialize a spaceborne SAR program. The advanced features of RADARSAT-2 will keep Canada in the forefront of spaceborne SAR by providing end-users and researchers with access to high resolution, multi-polarized SAR data, supported by an(More)
His research interests include polarimetric SAR classification, forward and Inverse modeling of microwave vegetation and surface backscattering, and investigation of multi-source data integration methodology. He has developed a novel polarimetric SAR processing technique named fuzzy-H/alpha classification method. In addition, he has developed a microwave(More)
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