Optical and SAR Image Registration Using Complexity Analysis and Binary Descriptor in Suburban Areas

doi:10.1109/lgrs.2021.3071870

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	Optical and SAR Image Registration Using Complexity Analysis and Binary Descriptor in Suburban Areas
	Z. H. Xie; J. H. Liu; C. L. Liu; Y. J. Zuo and X. Chen
	2022
Source Publication	Ieee Geoscience and Remote Sensing Letters
ISSN	1545-598X
Volume	19 Pages:5
Abstract	Optical and synthetic aperture radar (SAR) image registration is a challenging task due to significant geometric and radiometric differences. In particular, the strong scattering phenomenon in SAR images can seriously affect the registration results. Accordingly, to solve the low repeatability of the key points in optical and SAR images, a complexity analysis scheme is proposed. In the first phase, the complexity distribution diagram is calculated by the threshold sliding window in the edge images obtained from the maximum moment of the phase congruency. Then morphological operation and connected regions are used to obtain the high-complexity regions and mask them to avoid the extraction of the interference points. Next to solve the limitations of the local self-similarity (LSS) descriptor in the optical and SAR image registration, such as poor discrimination, expensive computational complexity, and sensitivity to large geometric and radiometric difference, we propose a binary LSS descriptor (BLSS). We replace the correlation surface of the LSS with the local gradient orientation histogram. Furthermore, we construct descriptors based on the XY-coordinate system and convert the correlation of the regions to binary descriptors. Finally, the fast sample consensus (FSC) is used to remove false correspondences. The experiments conducted on several optical and SAR image pairs verify the effectiveness of the proposed algorithm.
DOI	10.1109/lgrs.2021.3071870
URL	查看原文
Indexed By	SCI
Citation statistics	Cited Times:2[WOS] [WOS Record] [Related Records in WOS]
Document Type	期刊论文
Identifier	http://ir.ciomp.ac.cn/handle/181722/65485
Collection	中国科学院长春光学精密机械与物理研究所
Recommended Citation GB/T 7714	Z. H. Xie,J. H. Liu,C. L. Liu,et al. Optical and SAR Image Registration Using Complexity Analysis and Binary Descriptor in Suburban Areas[J]. Ieee Geoscience and Remote Sensing Letters,2022,19:5.
APA	Z. H. Xie,J. H. Liu,C. L. Liu,&Y. J. Zuo and X. Chen.(2022).Optical and SAR Image Registration Using Complexity Analysis and Binary Descriptor in Suburban Areas.Ieee Geoscience and Remote Sensing Letters,19,5.
MLA	Z. H. Xie,et al."Optical and SAR Image Registration Using Complexity Analysis and Binary Descriptor in Suburban Areas".Ieee Geoscience and Remote Sensing Letters 19(2022):5.

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中国科学院长春光学精密机械与物理研究所