Acta Geodaetica et Cartographica Sinica ›› 2020, Vol. 49 ›› Issue (12): 1583-1590.doi: 10.11947/j.AGCS.2020.20190324

• Photogrammetry and Remote Sensing • Previous Articles     Next Articles

SAR and optical images registration using uniform distribution and structure description-based ASIFT

LI Dongchen1, XIANG Wenhao1, DANG Qiannan2, WU Yan2   

  1. 1. Systems engineering research institute, Beijing 100094, China;
    2. School of Electronic Engineering, Xidian University, Xi'an 710071, China
  • Received:2019-08-21 Revised:2020-06-08 Published:2020-12-25
  • Supported by:
    The National Natural Science Foundation of China(No. 61772390)

Abstract: Aiming at the problems of nonlinear gray difference, speckle noise and different imaging viewpoints in SAR and optical image registration, this paper presents a SAR and optical images registration using uniform distribution and structure description-based ASIFT. In the proposed algorithm, firstly, the guided scale space is constructed by guided filter to achieve noise suppression and edge preservation. In the feature extraction stage, the phase congruency is utilized due to the nonlinear gray difference, and combined with scale space gridding to extract from images for the uniform feature points. In the feature description stage, the consistency gradient magnitude and orientation of SAR and optical image are calculated by extended phase congruency method, which improves the accuracy of the main orientation and descriptor. At last, Optimal-RANSAC is used to establish feature descriptor matching to achieve effective registration. The simulation experiment and analysis on four pairs of real images show that the proposed algorithm has more accurate registration accuracy than SAR-SIFT and traditional ASIFT.

Key words: SAR image, optical image, uniform distribution, structural information of phase congruency, ASIFT algorithm

CLC Number: