LASIS影像波段配准

针对大孔径静态干涉成像光谱仪（Large Aperture Static Interference Imaging Spectrometer,LASIS）各波段共视场扫描成像的特点,提出了基于在轨几何内检校的虚拟重成像方法进行波段高精度配准.此方法充分考虑姿轨的变化和镜头畸变等导致高光谱波段影像失配的几何因素,在内方位元素检校的基础上,对高光谱影像进行虚拟重成像,实现了对误差源的建模以及波段间相对误差的消除.利用遥感十四号LASIS在不同区域数据进行内检校和虚拟重成像实验,结果表明,进行LASIS数据的处理能够得到优于0.16像素的波段配准精度....

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Bibliographic Details
Published in红外与毫米波学报 Vol. 35; no. 4; pp. 505 - 512
Main Author 张过 李凡
Format Journal Article
LanguageChinese
Published 国家测绘地理信息局卫星测绘应用中心,北京101300%武汉大学测绘遥感信息工程国家重点实验室,湖北武汉,430079 2016
地球空间信息技术协同创新中心,湖北武汉430079
武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079
Subjects
内检校
大孔径静态干涉成像光谱仪（LASIS）
波段配准
虚拟CCD
虚拟重成像
re-imaging
大孔径静态干涉成像光谱仪(LASIS)
virtual CCD
band-to-band registration
虚拟重成像
内检校
波段配准
虚拟CCD
large aperture static interference imaging spectrometer (LASIS)
interior orientation calibration
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Summary:针对大孔径静态干涉成像光谱仪（Large Aperture Static Interference Imaging Spectrometer,LASIS）各波段共视场扫描成像的特点,提出了基于在轨几何内检校的虚拟重成像方法进行波段高精度配准.此方法充分考虑姿轨的变化和镜头畸变等导致高光谱波段影像失配的几何因素,在内方位元素检校的基础上,对高光谱影像进行虚拟重成像,实现了对误差源的建模以及波段间相对误差的消除.利用遥感十四号LASIS在不同区域数据进行内检校和虚拟重成像实验,结果表明,进行LASIS数据的处理能够得到优于0.16像素的波段配准精度.
Bibliography:ZHANG Guo,LI Fan（1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China; 2. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China; Satellite Surveying and Mapping Application Center（SASMAC）, National Administration Of Surveying Mapping and Geoinformation, Beijing 101300, China）
large aperture static interference imaging spectrometer （LASIS）, interior orientation calibration, virtual CCD, re-imaging, band-to-band registration
Large aperture static interference imaging spectrometer （LASIS） is characterized by that all CCD chips of 180 spectral bands scan through the same field. Based on this, a novel method is proposed to achieve high accuracy band-to-band registration by re-imaging with virtual CCD based calibration. Considering the geometric factors that cause hyperspectral image mismatch, such as changes of attitude and orbit data, lens distortion and so on, this method reimages the hyperspectral images with the
ISSN:1001-9014
DOI:10.11972/j.issn.1001-9014.2016.04.020