Optical and SAR image registration based on improved nonsubsampled wavelet transform for sea islands  

作　　者：SHI Wei SU Fenzhen WANG Ruirui LU Yongduo 

机构地区：[1]Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences [2]Collaborative Innovation Center of South China Sea Studies, Nanjing University [3]Beijing Forestry University [4]National Marine Environmental Forecasting Center, State Oceanic Administration

出　　处：《Acta Oceanologica Sinica》2014年第5期86-95,共10页海洋学报（英文版）

基　　金：The National Natural Science Foundation of China under contract No.41271409;the National Key Technology Research and Development Program under contract No.2011BAH23B00;the National High Technology Research and Development Program(863 Program)of China under contract No.2012AA12A406

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.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.

关 键 词：image registration ISLANDS South China Sea wavelet transform threshold shrink operator 

分 类 号：P714[天文地球—海洋科学]