Combining Multi-variate Statistics and Dempster-Shafer Theory for Edge Detection in Multi-channel SAR Images

A new scheme for detecting edges in multi-channel SAR images is proposed. The method is applied to a set of two full-polarimetric SAR images, i.e. a P-band and an L-band image. The first step is a lowlevel edge detector based on multi-variate statistical hypothesis tests. As the spatial resolution of the two SAR bands is not the same, the test is applied to the polarimetric information for each band separately. The multi-variate statistical hypothesis test is used to decide whether an edge of a given orientation passes through the current point. The test is repeated for a discrete number of orientations. Eight orientations are used. The response for the different orientations of the scanning rectangles as well as for different bands is combined using a method based on Dempster-Shafer Theory. The proposed scheme was applied to a multichannel E-SAR image and results are shown and evaluated.