Atmospheric Correction of Remote Sensing Image Based on 6S Model

Abstract

Abstract:

Atmospheric correction is important for land remote sensing application. In data processing over multi-spectral remote sensing land image, an atmospheric correction method is presented. The method is based on 6S radiative transfer code and an empirical method of decreasing adjacency effect. To evaluate this correction procedure, FLAASH (another mature atmospheric correction model) is processed as a comparison. Results suggest that the quality of corrected image is improved apparently, the accuracy of the method and FLAASH remain about 10%.

Key words: 6S, atmospheric correction, adjacency effect, FLAASH

CLC Number:

TP751

HOU Xu-Zhou, YI Wei-Ning, QIAO Yan-Li, HUANG Hong-Lian, CUI Wen-Yu, DU Li-Li, CHEN Chuan. Atmospheric Correction of Remote Sensing Image Based on 6S Model[J]. Journal of Atmospheric and Environmental Optics, 2015, 10(1): 63-68.

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Atmospheric Correction of Remote Sensing Image Based on 6S Model

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