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2000
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A Multi-Variate Contour Detector for High-Resolution Polarimetric SAR Images

9 years 11 months ago
A Multi-Variate Contour Detector for High-Resolution Polarimetric SAR Images
This article presents a new method for contour detection in high-resolution polarimetric SAR images. The method is based on multi-variate statistics of speckle in homogeneous regions in a SAR image and uses a hypothesis test for the difference in variance between two adjacent regions to find the contours. The detector is directly applied on the single-look complex polarimetric SAR image. A preprocessor, which is also based on multi-variate statistics, is used to focus the attention of the detector on potentially non-homogeneous regions within the image. Results of applying the contour detector on L-band polarimetric SAR images are also presented.
Dirk Borghys, Christiaan Perneel, Marc Acheroy
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2000
Where ICPR
Authors Dirk Borghys, Christiaan Perneel, Marc Acheroy
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