Multi-angle SAR Image Fusion Algorithm Based on Optimal Local Image Index

Abstract

In order to reduce the layover region in traditional single-angle synthetic aperture radar (SA-SAR) image, a multi-angle synthetic aperture radar (MA-SAR) image fusion algorithm based on optimal local image index is proposed. By utilizing every two images of N SA-SAR images obtained from different observation angles under certain combination criteria to obtain a candidate image set with C2N images, the proposed algorithm calculates the local image index of every pixel of each image in the candidate image set and selects the pixel with the optimal local image index to constitute the final MA-SAR fusion image. The MA-SAR fusion image can effectively reduce the layover region in SA-SAR image. The simulation results have verified the effectiveness of the proposed algorithm.