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北京一号小卫星多光谱图像波段配准和图像变形评价
引用本文:陈正超,罗文斐,张浩,刘翔,张靓.北京一号小卫星多光谱图像波段配准和图像变形评价[J].遥感学报,2006,10(5):690-696.
作者姓名:陈正超  罗文斐  张浩  刘翔  张靓
作者单位:1. 遥感科学国家重点实验室,中国科学院,遥感应用研究所,北京,100101
2. 遥感科学国家重点实验室,中国科学院,遥感应用研究所,北京,100101;中国科学院,研究生院,北京,100049
基金项目:中国科学院"百人计划";国家教育部留学回国人员科研启动基金;国防科工委资助项目
摘    要:北京一号小卫星是中国和英国联合研制的一颗实用型、对地观测微小卫星,星上携带中分辨率32m多光谱(近红外、红和绿波段)和4m全色两种有效载荷。为了提高多光谱图像的宽度和时间分辨率,北京一号小卫星的每个多光谱波段都是由两个相机独立成像然后拼接而成。由于这种成像方式很难保证6个相机的主光轴平行,导致图像配准精度较低。针对北京一号小卫星的这种成像特点,本文在图像灰度交叉相关匹配的基础上,发展了一种高精度波段配准算法来评价北京一号小卫星的波段配准精度,并在波段配准的基础上,评价北京一号小卫星多光谱图像的变形一致性。

关 键 词:北京一号  在轨测试  波段配准  图像变形  图像质量评价
文章编号:1007-4619(2006)05-0690-07
收稿时间:2006-04-10
修稿时间:2006-05-25

The Geometric Evaluation of Beijing-1 Microsatellite Multispectral Images
CHEN Zheng-chao,LUO Wen-fei,ZHANG Hao,LIU Xiang and ZHANG Liang.The Geometric Evaluation of Beijing-1 Microsatellite Multispectral Images[J].Journal of Remote Sensing,2006,10(5):690-696.
Authors:CHEN Zheng-chao  LUO Wen-fei  ZHANG Hao  LIU Xiang and ZHANG Liang
Institution: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, Beijing 100101, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Beijing-1 microsatellite is an applied earth observing microsatellite of China.It combines SSTL's standard Disaster Monitoring Constellation(DMC) multispectral camera with a high resolution panchromatic imager.To enlarge its swath and shorten the revisiting time,every multispectral band is combined by two part images which were captured by two separate cameras.This design must add the error of the band registration.To assess Beijing-1 microsatellite,this paper introduces an effective method to evaluate the band registration accuracy.The method is based on cross-correlation of image digital number.Based on the result of band registration,this paper presents a new method to assess the images' distortion and its coherence of three bands.
Keywords:Beijing-1  band registration  image match  image distortion  image quality assessment
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