Aiming at the quality evaluation of synthetic aperture radar (SAR) image, a normalized evaluation index system combining the characteristics of grayscale image and electromagnetic scatter is established referencing analytic hierarchy process (AHP) at first. Then, the relationships between indexes and image quality are analyzed, as the distribution ranges and variation principles of indexes are determined by statistics. Eventually, the quality evaluation method is proposed, and some simulation results are presented. The method raised in this paper is simple, effective and robust, applied well to image quality assessment that has reference particularly.
In order to reduce the shadow in traditional linear SAR image, a multi-angle SAR non-coherent image fusion algorithm based on HIS statistic characteristics is proposed. By converting SAR image to HIS space, a threshold based on the statistic characteristics of SAR image’s HIS parameter is calculated and SAR images of different observation angles, which have been filtered according to the threshold previously calculated, are fused by non-coherent accumulation method. The fused image not only effectively reduces the image shadow, but also improves the detection probability of targets. The simulation results verify the effectiveness of the proposed algorithm.