Radar Cross-Section Estimation of SAR Images
نویسندگان
چکیده
We present an algorithm that is able to smooth out the speckle from many SAR images and which does not suuer from the drawbacks of multilooking. The algorithm is able to preserve the detail and resolution of the original image while producing a smooth, real-valued output. In many cases the quality of the smoothed image is suuciently high that it may be used with standard optical post-processing algorithms. We use a global optimization method (simulated annealing) and single point gamma statistics to nd the MAP solution for the radar cross-section. However, this method may also be regarded as an ideal adaptive lter that is both computationally eecient and highly parallelizable. Results will be presented for airborne, ERS-1 and multi-temporal SAR images.
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