Multi-Sensor SAR Image Registration Based on Object Shape

被引:4
|
作者
Rui, Jie [1 ,2 ,3 ]
Wang, Chao [1 ]
Zhang, Hong [1 ]
Jin, Fei [3 ]
机构
[1] Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Zhengzhou Inst Surveying & Mapping, Zhengzhou 450052, Peoples R China
来源
REMOTE SENSING | 2016年 / 8卷 / 11期
基金
中国国家自然科学基金;
关键词
SAR image registration; object extraction; shape matching; shape context; SIFT;
D O I
10.3390/rs8110923
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Owing to significant differences in synthetic aperture radar (SAR) images caused by diverse imaging mechanisms and imaging conditions, inconsistent features and relationship correspondences constitute key problems for traditional image registration algorithms. This study presents a novel SAR image registration method based on the shape information of distinct ground objects, which is obtained via object extraction and morphological operations. We utilize a shape context descriptor to compare the contours of objects and detect invariant control points. The experimental results show that the proposed method can achieve a reliable and stable registration performance for SAR images of different sensors.
引用
收藏
页数:10
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