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 

机构地区：[1]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 [2]Graduate University of Chinese Academy of Sciences, Beijing 100049, China [3]Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China [4]Shandong University of Science and Technology, Qingdao 266510, China 5 Beijing University of Technology, Beijing 100124, China [5]Beijing University of Technology, Bering 100124, China

出　　处：《Science China Earth Sciences》2012年第10期1679-1687,共9页中国科学（地球科学英文版）

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

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 images.In this paper,aimed at those registration issues,a fully automatic registration approach based on contour and SIFT is proposed.The registration technique performs a pre-registration process using contour feature matching algorithm that decides the overlapping region between a reference image and an input image.Once the coarse regions are obtained,it performs a fine registration process based on SIFT detector and a local adaptive matching strategy.In 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 rectification.Experiments 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.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 images. In this paper, aimed at those registration issues, a fully automatic registration approach based on contour and SIFT is proposed. The registration technique performs a pre-registration process using contour feature matching algorithm that decides the overlapping region between a reference image and an input image. Once the coarse regions are obtained, it performs a fine registration process based on SIFT detector and a local adaptive matching strategy. In 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 rectification. Experiments with visible images and infrared images from HJ-1A/B demonstrate the efficiency and the accuracy of the proposed technique for multi- source remote sensing images registration.

关 键 词：automatic registration CONTOUR SIFT coarse matching fine registration local adaptive strategy 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN215[自动化与计算机技术—计算机科学与技术]