电子学报2016，Vol.44Issue(3)：548-554,7.DOI:10.3969/j.issn.0372-2112.2016.03.008
应用于多源 SAR 图像匹配的级联 SIFT 算法
Cascade SIFT Matching Method for Multi-Source SAR Images
王峰 1尤红建 2傅兴玉 1许宁2
作者信息
- 1. 中国科学院电子学研究所，北京100190
- 2. 中国科学院空间信息处理与应用系统技术重点实验室，北京100190
- 折叠
摘要
Abstract
This paper presents a cascade SIFT matching method to get large numbers of discrete distributed matches for accurate procedure of multi-source SAR images.Firstly,to obtain more robust matching result,a large scale adapted ani-sotropic Gaussian scale-invariant feature transform ( AAG-SIFT) method is proposed.It is constructed based on large scale AAG scale space, where unstable local textures are blurred, but the structures remain unaffected.Secondly, a local SIFT matching method is recommended which extracts SIFT features from the coarse registered images.And then the features are matched in the local regions to avoid the interferences of the repeated textures from uncorrelated regions.Finally,the priori condition of scale and rotation consistency is used to filter matches,guaranteeing the accuracy of the matching results.Com-pared with traditional matching methods,the proposed method increases the number and distribution quality of the matches, and the location of the matches is accurate.关键词
多源SAR图像匹配/级联SIFT/AAG-SIFT/局部匹配Key words
multi-source SAR images matching/cascade SIFT/AAG-SIFT/local matching分类
信息技术与安全科学引用本文复制引用
王峰,尤红建,傅兴玉,许宁..应用于多源 SAR 图像匹配的级联 SIFT 算法[J].电子学报,2016,44(3):548-554,7.
