A fully automatic registration approach based on contour and SIFT for HJ-1 images

作     者：NI XiLiang CAO ChunXiang DING Lin JIANG Tao ZHANG Hao JIA HuiCong LI GuangHe ZHAO Jian CHEN Wei JI Wei XU Min GAO MengXu ZHENG Sheng TIAN Rong LIU Cheng LI Sha 

作者机构：State Key Laboratory of Remote Sensing Science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 China Graduate University of Chinese Academy of Sciences Beijing 100049 China Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 China Shandong University of Science and Technology Qingdao 266510 China 5 Beijing University of Technology Beijing 100124 China Beijing University of Technology Bering 100124 China 

出 版 物：《Science China Earth Sciences》 (中国科学（地球科学英文版）)

年 卷 期：2012年第55卷第10期

页      面：1679-1687页

核心收录：

学科分类：080901[工学-物理电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080203[工学-机械设计及理论] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 0802[工学-机械工程] 0803[工学-光学工程] 

基　　金：supported by National Basic Research Program of China(Grant No. 2007CB714404) 

主　　题：automatic registration contour SIFT coarse matching fine registration local adaptive strategy 

摘      要：To achieve a fully automatic registration between HJ-1 CCD images and HJ-1 infrared images is a difficult task as it must deal with the varying illuminations and resolutions of the images,different perspectives,and the local deformations within the *** this paper,aimed at those registration issues,a fully automatic registration approach based on contour and SIFT is *** registration technique performs a pre-registration process using contour feature matching algorithm that decides the overlapping region between a reference image and an input *** the coarse regions are obtained,it performs a fine registration process based on SIFT detector and a local adaptive matching *** the fine registration process,image blocking theory is used,which not only speeds up the features extraction and matching,but also makes the matching point pairs distributed uniformly in images,and further improves the accuracy of input image *** with visible images and infrared images from HJ-1A/B demonstrate the efficiency and the accuracy of the proposed technique for multisource remote sensing images registration.