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The Appropriate Parameter Retrieval Algorithm for Feature-Based SAR Image Registration
Li, Dong; Zhang, Yunhua; Li, D (reprint author), Chinese Acad Sci, Key Lab Microwave Remote Sensing, Ctr Space Sci & Appl Res, 1 Nanertiao, Beijing 100190, Peoples R China.
Department微波遥感部
Source PublicationSAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XII
2012
Pages85360Y
Language英语
ISSN0277-786X
ISBN978-0-8194-9276-0
AbstractThis paper is dedicated to investigate the appropriate parameter retrieval algorithm for feature-based synthetic aperture radar (SAR) image registration. The widely-used random sample consensus (RANSAC) is observed to be instable for its inappropriate estimation strategy and loss function for SAR images. In order to enable a stable and robust registration for SAR, an extended fast least trimmed squares (EF-LTS) is proposed which conducts the registration by least squares fitting at least half of the correspondences to minimize the squared polynomial residuals instead of fitting the minimal sampling set to maximize the cardinality of the consensus set as RANSAC. Experiment on interferometric SAR image pair demonstrates that the proposed algorithm behaves very stably and the obtained registration is averagely better than that by RANSAC in terms of cross-correlation and spectral SNR. By this algorithm, a stable estimation for any kind of 2D polynomial warp model with high robustness and accuracy can be efficiently achieved. Thus EF-LTS is more appropriate for SAR image registration.; This paper is dedicated to investigate the appropriate parameter retrieval algorithm for feature-based synthetic aperture radar (SAR) image registration. The widely-used random sample consensus (RANSAC) is observed to be instable for its inappropriate estimation strategy and loss function for SAR images. In order to enable a stable and robust registration for SAR, an extended fast least trimmed squares (EF-LTS) is proposed which conducts the registration by least squares fitting at least half of the correspondences to minimize the squared polynomial residuals instead of fitting the minimal sampling set to maximize the cardinality of the consensus set as RANSAC. Experiment on interferometric SAR image pair demonstrates that the proposed algorithm behaves very stably and the obtained registration is averagely better than that by RANSAC in terms of cross-correlation and spectral SNR. By this algorithm, a stable estimation for any kind of 2D polynomial warp model with high robustness and accuracy can be efficiently achieved. Thus EF-LTS is more appropriate for SAR image registration.
KeywordExtended Fast Least Trimmed Squares (Ef-lts) Feature-based Image Registration Parameter Estimation Random Sample Consensus (Ransac) Synthetic Aperture Radar (Sar)
Conference NameConference on SAR Image Analysis, Modeling and Techniques XII
Conference DateSEP 26-27, 2012
Conference PlaceEdinburgh, SCOTLAND
Indexed ByEI ; CPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/3355
Collection微波遥感部
Corresponding AuthorLi, D (reprint author), Chinese Acad Sci, Key Lab Microwave Remote Sensing, Ctr Space Sci & Appl Res, 1 Nanertiao, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Li, Dong,Zhang, Yunhua,Li, D . The Appropriate Parameter Retrieval Algorithm for Feature-Based SAR Image Registration[C]. BELLINGHAM:SPIE-INT SOC OPTICAL ENGINEERING,2012:85360Y.
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