Comparison and evaluation of atmospheric correction algorithms of QUAC, DOS, and FLAASH  for HICO hyperspectral imagery

Liangliang Shi; Zhihua Mao; Peng Chen; Sha'ou Han; Fang Gong; Qiankun Zhu

doi:10.1117/12.2241368

19 October 2016 Comparison and evaluation of atmospheric correction algorithms of QUAC, DOS, and FLAASH for HICO hyperspectral imagery

Liangliang Shi, Zhihua Mao, Peng Chen, Sha'ou Han, Fang Gong, Qiankun Zhu

Author Affiliations +

Proceedings Volume 9999, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016; 999917 (2016) https://doi.org/10.1117/12.2241368
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

In order to obtain the spectral information of objects and improve the retrieval of quantitative parameters from remotely sensing data accurately on land or over water bodies, atmospheric correction is a vital step, certainly, it is also a prerequisite to hyperspectral imagery data analysis approaches. On the base of previous studies, the atmospheric correction algorithms were divided to two categories: image-based empirical and model-based correction methods. The Quick Atmospheric Correction (QUAC) and Dark Object Subtraction (DOS) methods belong to the empirical or semiempirical methods, however, the Fast Line-of-sight Atmospheric Analysis of Spectral Hypercube (FLAASH) method was developed from the radiative transfer model. In this paper, we initially evaluated the performance from Hyperspectral Imager for the Coastal Ocean (HICO) of 16 Nov 2013 using QUAC, DOS, and MODTRAN integrated in FLAASH, and compared the results of these correction methods with in situ data. The results indicate that the method of FLAASH model performs much better than DOS and QUAC in atmospheric correction for HICO hyperspectral imagery, although the DOS and QUAC method is conducted more easily and do not require inputs of complex parameters.

Citation Download Citation

Liangliang Shi, Zhihua Mao, Peng Chen, Sha'ou Han, Fang Gong, and Qiankun Zhu "Comparison and evaluation of atmospheric correction algorithms of QUAC, DOS, and FLAASH for HICO hyperspectral imagery", Proc. SPIE 9999, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016, 999917 (19 October 2016); https://doi.org/10.1117/12.2241368

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