环境减灾二号A/B卫星高光谱数据反演与质量提升  

Hyperspectral Data Recovering and Quality Improvement for HJ-2A/B Satellites

作　　者：冯向朋 陈铁桥[1,2] 张耿 王爽[1] 刘学斌[1] FENG Xiangpeng;CHEN Tieqiao;ZHANG Geng;WANG Shuang;LIU Xuebin(Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China;University of Chinese Academy of Sciences, Beijing 100049, China)

机构地区：[1]中国科学院西安光学精密机械研究所,西安710119 [2]中国科学院大学,北京100049

出　　处：《航天器工程》2022年第3期63-70,共8页Spacecraft Engineering

基　　金：国家民用空间基础设施中长期发展规划。

摘　　要：针对环境减灾二号A/B卫星高光谱成像仪获取的原始干涉数据反演过程与数据质量提升方法进行研究。依据大孔径静态干涉光谱成像(LASIS)的基本原理与数据反演方法,使用实验室定标法和在轨数据统计法进行原始干涉数据的相对辐射校正。根据直方图统计结果,对反演之后的浮点型高光谱数据进行归一化,并对归一化后的数据进行基于直方图匹配的相对辐射校正,有效地去除了图像条带,使得反演生成的高光谱数据空间信噪比得到有效提升,并保持了92%以上的光谱准确度。The recovering process and data quality improvement method of original interference data obtained by HJ-2A/B satellites hyperspectral imager are studied.According to the basic principle of LASIS(large aperture static imaging spectrometry)and data recovering method,the relative radiometric correction of the original interference data is carried out by laboratory calibration and on-orbit data statistic.According to statistical results of histogram,the floating point recovered hyperspectral data are normalized.For normalized data,the relative radiometric correction method based on histogram matching is carried out.The image striping is effectively removed,the spatial signal-to-noise ratio of recovered hyperspectral data is improved,and spectral accuracy maintains more than 92%.

关 键 词：环境减灾二号A/B卫星 高光谱数据 干涉数据反演 数据质量提升 辐射校正 直方图匹配 条带噪声去除 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]