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天宫一号高光谱成像仪系统光谱辐射校正
引用本文:张文娟,吴远峰,刘良云,张兵,李绪志,张九星. 天宫一号高光谱成像仪系统光谱辐射校正[J]. 遥感学报, 2014, 18(Z1): 56-61
作者姓名:张文娟  吴远峰  刘良云  张兵  李绪志  张九星
作者单位:中国科学院 遥感与数字地球研究所, 北京 100094;中国科学院 遥感与数字地球研究所, 北京 100094;中国科学院 遥感与数字地球研究所, 北京 100094;中国科学院 遥感与数字地球研究所, 北京 100094;中国科学院 空间应用工程与技术中心, 北京 100094;中国科学院 空间应用工程与技术中心, 北京 100094
基金项目:国家自然科学基金(编号:41271370);载人航天工程天宫一号民用试应用项目
摘    要:针对天宫一号高光谱成像仪工作原理与数据特点,提出了可见—近红外波段高光谱成像仪,短波红外波段高光谱成像仪的系统光谱辐射校正方法,给出1级标准产品数据生成流程.该过程包括:背景噪声扣除,相对与绝对辐射校正,坏列检测与修复,光谱smile校正.最后,面向光谱辐射校正后数据存储给出了数据放大系数.为天宫一号高光谱数据的标准化产品生产提供了技术支撑,为天宫一号高光谱成像仪的在轨运行、民用示范与定量化应用提供了重要基础.

关 键 词:天宫一号  高光谱成像仪  辐射校正  smile校正
收稿时间:2014-01-10

Tiangong-1 hyperspectral imager radiometric and spectral correction
ZHANG Wenjuan,WU Yuanfeng,LIU Liangyun,ZHANG Bing,LI Xuzhi and ZHANG Jiuxing. Tiangong-1 hyperspectral imager radiometric and spectral correction[J]. Journal of Remote Sensing, 2014, 18(Z1): 56-61
Authors:ZHANG Wenjuan  WU Yuanfeng  LIU Liangyun  ZHANG Bing  LI Xuzhi  ZHANG Jiuxing
Affiliation:Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China;Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
Abstract:The first Chinese space laboratory Tiangong-1 is launched on September 29, 2011.The module carries one hyperspectral imager, which includes two imaging spectrometers: one is the visible-near infraredimaging spectrometer and the other is the short wave infrared imaging spectrometer. The hyperspectral imager has the capable of obtaining data with the nano-scale spectral resolution and high spatial resolution. For quantitative application of these data, the method and process flow of hyperspectral imager radiometric and spectral correction is proposed, based on the analysis of imaging principle and data characteristic. First, the original DN data are removed background noise, then, the data are carried out radiometric correction and bad pixels are repaired, finally, the data are performed smile correction. The scale coefficient of corrected data is also provided.
Keywords:Tiangong-1  hyperspectral imager  radiometric correction  smile correction
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