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Spectral Reconstruction of Hyperion Data Based on FLAASH Model

机译:基于FLAASH模型的Hyperion数据的光谱重建

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A method of spectral reconstruction based on FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hyper cubes) is introduced in this paper. A scene of Hyper ion image is adopted with hyper spectral data in October 14th, 2008 in the Mountainous regions of Guizhou. The FLAASH model is adopted spectral reconstruction five typical objects. Atmospheric water vapor absorption band are removed (1346nm-1467nm and 1800nm-1971nm). The results show that, Vegetation reflectance in the visible band has a significant reflectance peak in green band, and have high reflection in the near infrared region due to multiple scattering effects. Water in the entire spectral range has a low reflection. Experiment and reasonable result could be achieved to improve performance of Hyperion.
机译:本文介绍了一种基于FLAASH的光谱重建方法(光谱超级立方体的快速视线大气分析)。 2008年10月14日在贵州山区的超谱数据采用超离子图像场景。 采用光谱重建五种典型物体。 除去大气水蒸气吸收带(1346nm-1467nm和1800nm-1971nm)。 结果表明,可见带中的植被反射率在绿色带中具有重要的反射峰,并且由于多种散射效果,近红外区域具有高反射。 整个光谱范围内的水具有低反射。 可以实现实验和合理的结果以提高Hyperion的性能。

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