均匀分布与结构描述ASIFT相结合的SAR与可见光图像配准算法  

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

作　　者：李东宸 向文豪 党倩楠 吴艳[2] LI Dongchen;XIANG Wenhao;DANG Qiannan;WU Yan(Systems engineering research institute, Beijing 100094, China;School of Electronic Engineering, Xidian University, Xi’an 710071, China)

机构地区：[1]中国船舶工业系统工程研究院,北京100094 [2]西安电子科技大学电子工程学院,西安710071

出　　处：《测绘学报》2020年第12期1583-1590,共8页Acta Geodaetica et Cartographica Sinica

基　　金：国家自然科学基金(No.61772390)。

摘　　要：针对SAR与可见光图像配准中存在的非线性灰度差异与斑点噪声,同时考虑不同的成像视角问题,提出了基于均匀分布与结构描述ASIFT的SAR与可见光图像配准算法。该算法首先采用引导滤波建立引导尺度空间以达到噪声抑制与边缘保持,在特征点提取阶段,由于非线性灰度差异引入相位一致性强度信息,并与尺度空间网格划分相结合,指导筛选图像中均匀特征点的获取;然后在特征描述阶段,引入扩展相位一致性方法计算SAR与可见光图像的一致性梯度幅值和方向,提高了主方向和描述符的准确性;最后利用Optimal-RANSAC进行特征描述符匹配实现有效配准。通过对4组实测图像进行试验及结果分析,证明该算法相比SAR-SIFT与传统ASIFT算法具有更准确的配准精度。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.

关 键 词：SAR图像 可见光图像 均匀分布 相位一致性结构信息 ASIFT算法 

分 类 号：P237[天文地球—摄影测量与遥感]