Paper
4 March 2015 Comparative study on atmospheric correction methods of visible and near-infrared hyperspectral image
Qian He, Jingli Wu, Guangping Wang, Chang Liu, Tao Tao
Author Affiliations +
Proceedings Volume 9521, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part I; 95211L (2015) https://doi.org/10.1117/12.2178256
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held August-October 2014, 2014, China, China
Abstract
Currently, common atmospheric correction methods usually based on the statistical information of image itself for relative reflectance calculation, or make use of the radiative transfer model and meteorological parameters for accurate calculations. In order to compare the advantages and disadvantages of these methods, we carried out some atmospheric correction experiments based on AVIRIS Airborne Visible and Near-Infrared hyperspectral data. It proved that, the statistical method is simple and convenient, but not wide adaptability, that can only get the relative reflectance; while the radiative transfer model method is very complex and require the support of auxiliary information, but it can get the precise absolute reflectance of surface features.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qian He, Jingli Wu, Guangping Wang, Chang Liu, and Tao Tao "Comparative study on atmospheric correction methods of visible and near-infrared hyperspectral image", Proc. SPIE 9521, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part I, 95211L (4 March 2015); https://doi.org/10.1117/12.2178256
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KEYWORDS
Reflectivity

Atmospheric corrections

Vegetation

Absorption

Atmospheric modeling

Radiative transfer

Hyperspectral imaging

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