基于6S模型的遥感图像大气校正方法研究

大气与环境光学学报 ›› 2015, Vol. 10 ›› Issue (1): 63-68.

基于6S模型的遥感图像大气校正方法研究

侯旭洲, 易维宁, 乔延利, 黄红莲, 崔文煜, 杜丽丽, 陈川

（中国科学院安徽光学精密机械研究所中国科学院通用光学定标与表征技术重点实验室，安徽合肥 230031）

收稿日期:2014-03-25 修回日期:2014-04-23 出版日期:2015-01-28 发布日期:2015-01-09
通讯作者: 侯旭洲（1990-），男，硕士研究生，山西忻州人，从事遥感信息处理的研究工作。 E-mail:houxuzhou@gmail.com
作者简介:侯旭洲（1990-），男，硕士研究生，山西忻州人，从事遥感信息处理的研究工作。
基金资助:
中国科学院科技创新重点项目（KGFZD-125-13-006）资助

Atmospheric Correction of Remote Sensing Image Based on 6S Model

HOU Xu-zhou, YI Wei-ning, QIAO Yan-li, HUANG Hong-lian, CUI Wen-yu

(Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei 230031, China)

Received:2014-03-25 Revised:2014-04-23 Published:2015-01-28 Online:2015-01-09

摘要/Abstract

摘要：

去除大气影响是遥感影像应用中具有重要实用意义的一步，因此依据多光谱遥感数据开展了大气校正方法的研究工作。基于6S辐射模型和消除邻边效应的经验方法对ZY-3卫星影像数据进行大气校正；作为对照，对同一影像也做FLAASH（一种成熟的大气校正软件模块）大气校正处理。由结果所见，校正后影像质量得到提高；校正精度与FLAASH精度都在10%左右，具有较高准确性。

关键词: 6S, 大气校正, 邻边效应, FLAASH

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

中图分类号:

TP751

侯旭洲易维宁乔延利黄红莲崔文煜杜丽丽陈川. 基于6S模型的遥感图像大气校正方法研究[J]. 大气与环境光学学报, 2015, 10(1): 63-68.

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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