An improved non-rigid registration algorithm for SAR image based on thin plate spline
Jiqing Zhao, Yun Gong · 2020
SAR image registration is a key step in SAR data processing, and it plays an important role in change detection, image mosaic fusion and target recognition. The traditional rigid registration model can only realize the rotation and translation transformation of a whole image. However, for SAR images with coherent speckle noise and complex deformation, the local transformation result can’t meet the accuracy requirement of the later data processing. In this paper, the existing SAR image registration method is improved. After finishing SAR image feature matching by means of SURF and RANSAC algorithms, we construct an image conversion model with thin plate spline, which can decompose the space transformation of SAR image into global affine transformation and local non affine transformation. In this way, the whole and local mapping transformation of images can be realized simultaneously without the local distortion. The experimental results show that the improved method can achieve better transformation and obtain higher registration accuracy in the whole and local processing of SAR images.