Atmospheric Correction of Hyperspectral Images Based on Approximate Solution of Transmittance Equation

被引：8
|
作者：
Belov, A. M. [1 ]
Myasnikov, V. V. [1 ]
机构：
[1] Samara State Aerosp Univ, Russian Acad Sci, Image Proc Syst Inst, Samara, Russia
来源：
SEVENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2014) | 2015年 / 9445卷
基金：
俄罗斯科学基金会;
关键词：
hyperspectral image; remote sensing data; airborne remote sensing; spaceborne remote sensing; spectral profile; transmittance equation; least square method; MODTRAN;
D O I：
10.1117/12.2181364
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper presents a method of atmospheric correction of remote sensing hyperspectral images. The method based on approximate solution of MODTRAN transmittance equation using simultaneous analysis of remote sensing hyperspectral image and "ideal" hyperspectral image which is free from atmospheric distortions. Experimental results show that proposed method is applicable to perform atmospheric correction.
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页数：5
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