中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optical and SAR image registration based on improved non-subsampled wavelet transform for sea islands

文献类型:SCI/SSCI论文

作者Shi W. ; Su F. Z. ; Wang R. R. ; Lu Y. D.
发表日期2014
关键词image registration islands South China Sea wavelet transform threshold shrink operator automatic registration
英文摘要Homologous feature point extraction is a key problem in the optical and synthetic aperture radar (SAR) image registration for islands. A new feature point extraction method using a threshold shrink operator and non-subsampled wavelet transform (TSO-NSWT) for optical and SAR image registration was proposed. Moreover, the matching for this proposed feature was different from the traditional feature matching strategies and was performed using a similarity measure computed from neighborhood circles in low-frequency bands. Then, a number of reliably matched couples with even distributions were obtained, which assured the accuracy of the registration. Application of the proposed algorithm to SPOT-5 (multi-spectral) and YG-1 (SAR) images showed that a large number of accurately matched couples could be identified. Additionally, both of the root mean square error (RMSE) patterns of the registration parameters computed based on the TSO-NSWT algorithm and traditional NSWT algorithm were analyzed and compared, which further demonstrated the effectiveness of the proposed algorithm. The algorithm can supply the crucial step for island image registration and island recognition.
出处Acta Oceanologica Sinica
33
5
86-95
收录类别SCI
语种英语
ISSN号0253-505X
源URL[http://ir.igsnrr.ac.cn/handle/311030/29619]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Shi W.,Su F. Z.,Wang R. R.,et al. Optical and SAR image registration based on improved non-subsampled wavelet transform for sea islands. 2014.

入库方式: OAI收割

来源:地理科学与资源研究所

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