Speckle Filtering Based on Segmentation for Monolook SAR Images
Yan Ying Zhou Yinqing(Dept. of Electronic Engineering, Beijing University of Aeronautics and Astronautics)
A segmentation based method was proposed for speckle reduction of synthetic aperture radar(SAR) monolook images. Taking explicitly into account the characteristics of areas in a SAR monolook image, this method maximizes a given area with the help of edge detection with constant false alarm rate, and applies optimum filtering in the segmented area. Moreover, edge detection and image segmentation in the multilook image assure the effectiveness of the operations. Comparing with typical speckle filters, experimental results suggest that the proposed filter is an excellent alternative in speckle suppression.
【CateGory Index】： TN957.2