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《Remote Sensing Technology and Application》 2012-01
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Experiment and Accuracy Analysis of Automated Registration and Orthorectification for Landsat-like Images based on AROP

Li Ainong1,4,Jiang Jingang2,3,Bian Jinhu1,Lei Guangbin1,Huang Chengquan4(1.Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China; 2.Zhejiang Provincial Key Laboratory of Urban Wetland and Regional Change,Hangzhou 311121,China; 3.Institute of Remote Sensing and Earth Sciences,Hangzhou Normal University,Hangzhou 311121,China; 4.Department of Geography,University of Maryland,College Park 20741 MD,USA)  
Accurate registration and orthorectification of remote sensing image is the important fundament for image fusion,change detection,image mosaic,quantitative remote sensing modeling,and synergy application of multi-temporal and multi-sensor images.This paper takes the program package named LEDAPS-AROP(Landsat Ecosystem Disturbance Adaptive Processing System-Automated Registration and Orthorectification Package) of NASA as a case,to illustrate its principle and program design,and analyze its accuracy of registration and orthorectification.The experiment shows that AROP can search enough control points in reference image,and these points distribute evenly.The error of registration and orthorectification is no more than 0.5 pixels,which can meet the requirement of remote sensing quantitative application in mountainous regions.The characteristic of errors presents that the lateral error is obviously bigger than the course error,and the errors seem correlate to the DEM and slope.At present,AROP can be used to process the registration of CBERS image,but still need study further for deal with HJ-CCD image.
【Fund】: 中国科学院知识创新工程青年人才方向项目“山地森林生态系统空间结构关键信息遥感定量反演”(ZCX2-YW-QN313) 中国科学院“百人计划”项目“山地地表覆被空间信息定量遥感关键技术研究”(110900K242) 中国科学院战略性先导科技专项子课题“西南地区固碳参量遥感监测”(XDA05050105)联合资助
【CateGory Index】: TP751
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