REGISTRATION OF SAR AND OPTICAL IMAGES BY WEIGHTED SIFT BASED ON PHASE CONGRUENCY

被引：0
|
作者：
Jiang, Shuai [1 ,2 ]
Wang, Bingnan [1 ]
Zhu, Xiangyu [3 ]
Xiang, Maosheng [1 ,2 ]
Fu, Xikai [1 ,2 ]
Sun, Xiaofan [1 ,2 ]
机构：
[1] Chinese Acad Sci, State Key Lab Microwave Imaging Technol, Inst Elect, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] China Samsung Res, Beijing 100028, Peoples R China
来源：
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
关键词：
image registration; optical image; scale invariant feature transform; synthetic aperture radar;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, to address problems in the registration of synthetic aperture radar (SAR) and optical images due to large gray differences, the scale-invariant feature transform (SIFT) approach based on phase congruency (PC-SIFT) is proposed. This approach is used to address the gradient inversion in multi-source images, and it is based on optimizing the dominant direction interval of the descriptors. We construct a new descriptor by combining phase consistency and the gradient amplitude, which is referred to as PCG-SIFT descriptor. The proposed algorithm is suitable for multi-sensor images with large gray differences and significant edge features The results of experiments show that compared to the traditional gradient-based SIFT descriptor, the PC-SIFT descriptor and PCG-SIFT descriptor improve the robustness and matching probability of the registration algorithm for multi-source images.
引用
收藏
页码：8885 / 8888
页数：4
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