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A Fast Offset Estimation Approach for InSAR Image Subpixel Registration
Li, Dong; Zhang, Yunhua; Li, D (reprint author), Chinese Acad Sci, Ctr Space Sci & Appl Res, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
Department微波遥感部
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2012
Volume9Issue:2Pages:267-271
ISSN1545-598X
Language英语
KeywordFast Offset Estimation Interferometric Sar (inSar) Subpixel Image Registration Synthetic Aperture Radar (Sar)
AbstractA fast offset estimation approach for interferometric synthetic aperture radar (InSAR) image pair subpixel registration is proposed for cases of relatively gentle topography and/or short baseline. A coarse-to-fine registration strategy is taken. The pixel-level offset is estimated in the coarse registration step by a fast feature-based estimation, which uses the speeded up robust feature operator and fast least trimmed squares (Fast-LTS) estimator to accelerate the feature extraction and parameter estimation. A fine registration is performed subsequently. The conventional normalized cross-correlation algorithm (NCCA) searches for the optimal subpixel offset by oversampling either the coarse cross correlation or the InSAR image patch pair. The offset estimation accuracy is restricted by the oversampling rate, and the computational burden is heavy when high accuracy is demanded. In this letter, we transform the oversampling and correlation searching process of NCCA into a nonlinear optimization problem, which takes the maximization of the coherent cross correlation as the objective function; by solving it, the subpixel offset can be fast and exactly obtained without any image oversampling. The final registration parameters are inverted by Fast-LTS fitting of a series of subpixel tie point correspondences which can be constructed after applying the approach to several image patch pairs. RadarSat-2 data are used to test the approach, and the results show that it performs very well not only on the speed but also on the accuracy.; A fast offset estimation approach for interferometric synthetic aperture radar (InSAR) image pair subpixel registration is proposed for cases of relatively gentle topography and/or short baseline. A coarse-to-fine registration strategy is taken. The pixel-level offset is estimated in the coarse registration step by a fast feature-based estimation, which uses the speeded up robust feature operator and fast least trimmed squares (Fast-LTS) estimator to accelerate the feature extraction and parameter estimation. A fine registration is performed subsequently. The conventional normalized cross-correlation algorithm (NCCA) searches for the optimal subpixel offset by oversampling either the coarse cross correlation or the InSAR image patch pair. The offset estimation accuracy is restricted by the oversampling rate, and the computational burden is heavy when high accuracy is demanded. In this letter, we transform the oversampling and correlation searching process of NCCA into a nonlinear optimization problem, which takes the maximization of the coherent cross correlation as the objective function; by solving it, the subpixel offset can be fast and exactly obtained without any image oversampling. The final registration parameters are inverted by Fast-LTS fitting of a series of subpixel tie point correspondences which can be constructed after applying the approach to several image patch pairs. RadarSat-2 data are used to test the approach, and the results show that it performs very well not only on the speed but also on the accuracy.
Indexed BySCI ; EI
Funding Project中国科学院空间科学与应用研究中心
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/3454
Collection微波遥感部
Corresponding AuthorLi, D (reprint author), Chinese Acad Sci, Ctr Space Sci & Appl Res, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Li, Dong,Zhang, Yunhua,Li, D . A Fast Offset Estimation Approach for InSAR Image Subpixel Registration[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2012,9(2):267-271.
APA Li, Dong,Zhang, Yunhua,&Li, D .(2012).A Fast Offset Estimation Approach for InSAR Image Subpixel Registration.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,9(2),267-271.
MLA Li, Dong,et al."A Fast Offset Estimation Approach for InSAR Image Subpixel Registration".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 9.2(2012):267-271.
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