Analysis of Hyperion data with the FLAASH atmospheric correction algorithm

Analysis of Hyperion data with the FLAASH atmospheric correction algorithm
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DOI：
10.1109/igarss.2003.1293688
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发表时间：
2003-07
期刊：
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)
影响因子：
--
通讯作者：
G. Felde;G. Anderson;T. Cooley;M. Matthew;S. Adler-Golden;A. Berk;Jamine Lee
G. Felde;G. Anderson;T. Cooley;M. Matthew;S. Adler-Golden;A. Berk;Jamine Lee
中科院分区：
其他
文献类型：
--
作者：
G. Felde;G. Anderson;T. Cooley;M. Matthew;S. Adler-Golden;A. Berk;Jamine Lee

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良好的空间和光谱分辨率的结合使得飞机或航天器的可见短波红外光谱成像成为地球表面遥感的非常有价值的技术。许多应用需要消除分子和颗粒散射引起的大气影响；称为大气校正、补偿或去除的过程。光谱超立方体的快速视距大气分析 (FLAASH) 大气校正代码从 MODTRAN4 辐射传输代码中得出其基于物理的算法。新的光谱；描述了已合并到 FLAASH 中的重新校准算法。讨论了使用 FLAASH 处理 Hyperion 数据的结果。
A combination of good spatial and spectral resolution make visible to shortwave infrared spectral imaging from aircraft or spacecraft a highly valuable technology for remote sensing of the Earth's surface. Many applications require the elimination of atmospheric effects caused by molecular and particulate scattering; a process known as atmospheric correction, compensation, or removal. The Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) atmospheric correction code derives its physics-based algorithm from the MODTRAN4 radiative transfer code. A new spectra; recalibration algorithm, which has been incorporated into FLAASH, is described. Results from processing Hyperion data with FLAASH are discussed.