CIOMP OpenIR
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 PublicationIeee Geoscience and Remote Sensing Letters
ISSN1545-598X
Volume19Pages:5
AbstractOptical 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.
DOI10.1109/lgrs.2021.3071870
URL查看原文
Indexed BySCI
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Optical and SAR Imag(1949KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Z. H. Xie]'s Articles
[J. H. Liu]'s Articles
[C. L. Liu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Z. H. Xie]'s Articles
[J. H. Liu]'s Articles
[C. L. Liu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Z. H. Xie]'s Articles
[J. H. Liu]'s Articles
[C. L. Liu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Optical and SAR Image Registration Using Compl.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.