A new method for atmospheric correction and aerosol optical property retrieval for VIS-SWIR multi- and hyperspectral imaging sensors: QUAC (QUick atmospheric correction)
A new method for atmospheric correction and aerosol optical property retrieval for VIS-SWIR multi- and hyperspectral imaging sensors: QUAC (QUick atmospheric correction)
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DOI：
10.1109/igarss.2005.1526613
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发表时间：
2005-07
期刊：
影响因子：
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通讯作者：
L. Bernstein;S. Adler-Golden;R. Sundberg;R. Levine;T. Perkins;A. Berk;A. Ratkowski;G. Felde
中科院分区：
文献类型：
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作者：
L. Bernstein;S. Adler-Golden;R. Sundberg;R. Levine;T. Perkins;A. Berk;A. Ratkowski;G. Felde
摘要：我们描述了一种用于多光谱和高光谱图像的新 VNIR-SWIR 大气校正方法，称为 QUAC（QUick 大气校正），该方法还能够检索气溶胶或雾霾和分子吸收体的波长相关光学深度。它使用观察到的像素光谱直接根据场景中包含的信息确定大气补偿参数。该方法基于经验发现，即不同材料光谱集合（例如场景中的端元光谱）的光谱标准差本质上是光谱平坦的。即使传感器没有适当的辐射或波长校准，或者太阳光照强度未知，它也可以检索相当准确的反射光谱。大气校正方法的计算速度明显快于第一原理方法，使其可能适合实时应用。与大多数现有方法不同，气溶胶光学深度检索方法不需要暗像素的存在。在本文中，QUAC被应用于对几个AVIRIS数据集进行大气校正。还提供了与基于物理的 FLAASH 代码的比较。
Abstract : We describe a new VNIR-SWIR atmospheric correction method for multi- and hyperspectral imagery, dubbed QUAC (QUick Atmospheric Correction) that also enables retrieval of the wavelength-dependent optical depth of the aerosol or haze and molecular absorbers. It determines the atmospheric compensation parameters directly from the information contained within the scene using the observed pixel spectra. The approach is based on the empirical finding that the spectral standard deviation of a collection of diverse material spectra, such as the endmember spectra in a scene, is essentially spectrally flat. It allows the retrieval of reasonably accurate reflectance spectra even when the sensor does not have a proper radiometric or wavelength calibration, or when the solar illumination intensity is unknown. The computational speed of the atmospheric correction method is significantly faster than for the first-principles methods, making it potentially suitable for realtime applications. The aerosol optical depth retrieval method, unlike most prior methods, does not require the presence of dark pixels. In this paper, QUAC is applied to atmospherically correction several AVIRIS data sets. Comparisons to the physics-based FLAASH code are also presented.