Research on Algorithms of SAR and Optical Image Fusion

Abstract

With the rapid development of multi-source remote sensing technology, the application of Multi-source image fusion has increased. SAR and optical images have their own characteristics, quite different from each other. In order to avoid the excessive extraction of SAR image feature information and reduce the spectral distortion. In this paper, aims at the problem of excessive extraction in SAR image feature extraction based on gray level gradient algorithm. A fusion method combine adaptive HIS with phase congruency method is proposed. The phase congruency algorithm can distinguish the target contour and texture edge using phase information, it can effectively avoid the excessive extraction of the edge, and the adaptive HIS algorithm can overcome two image gray value differences, to achieve a smooth transition to the information, reduce the spectral distortion of the image fusion. Experimental result shows that the proposed method can effectively inject the missing features into optical image as well as better to maintain spectral and spatial structure quality, achieve a better visual effect, and improve the capability of target detection.