NSSC OpenIR  > 微波遥感部
A fast normalized cross-correlation algorithm for InSAR image subpixel registration
Li, Dong; Zhang, Yunhua; Li, D. (lidong108@mails.gucas.ac.cn)
Department微波遥感部
Source Publication2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011
2011
Pages738-741
Language英语
ISBN9788993246179
AbstractA fast normalized cross-correlation algorithm (Fast-NCCA) is proposed for InSAR image subpixel registration considering the interferometric cases of gentle topography and/or short baseline. The conventional normalized cross-correlation algorithm (NCCA) searches for the optimal subpixel offset by oversampling either the coarse cross-correlation or the InSAR image pair. The offset estimation accuracy is restricted by the oversampling rate and the computational burden is heavy when high accuracy is demanded. In this paper, the oversampling and correlation searching process of NCCA is transformed into a nonlinear optimization problem which takes the coherent cross-correlation as the objective function, and by solving it with the sequential quadratic programming algorithm, the subpixel offset between the images can be fast and accurately obtained. Experiment on SIR-C/X-SAR data shows that the proposed algorithm performs very well not only on the speed but also on the accuracy. © 2011 KIEES.; A fast normalized cross-correlation algorithm (Fast-NCCA) is proposed for InSAR image subpixel registration considering the interferometric cases of gentle topography and/or short baseline. The conventional normalized cross-correlation algorithm (NCCA) searches for the optimal subpixel offset by oversampling either the coarse cross-correlation or the InSAR image pair. The offset estimation accuracy is restricted by the oversampling rate and the computational burden is heavy when high accuracy is demanded. In this paper, the oversampling and correlation searching process of NCCA is transformed into a nonlinear optimization problem which takes the coherent cross-correlation as the objective function, and by solving it with the sequential quadratic programming algorithm, the subpixel offset between the images can be fast and accurately obtained. Experiment on SIR-C/X-SAR data shows that the proposed algorithm performs very well not only on the speed but also on the accuracy. © 2011 KIEES.
Conference Name2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011
Conference DateSeptember 26, 2011 - September 30, 2011
Conference PlaceSeoul, Korea, Republic of
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/3356
Collection微波遥感部
Corresponding AuthorLi, D. (lidong108@mails.gucas.ac.cn)
Recommended Citation
GB/T 7714
Li, Dong,Zhang, Yunhua,Li, D. . A fast normalized cross-correlation algorithm for InSAR image subpixel registration[C]:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States,2011:738-741.
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