Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2007, Vol. 19 Issue (2) : 16-19     DOI: 10.6046/gtzyyg.2007.02.04
Technology and Methodology |
THE ATMOSPHERIC CORRECTION METHOD FOR NONHOMOGENEOUS
ATMOSPHERE BASED ON MANY DARK OBJECTS
 QI Zhi-Xin, DENG Ru-Ru
Department of Remote Sensing and GIS Project, Zhongshan University, Guangzhou 510275, China
Download: PDF(427 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

 Using Landsat TM imagery, the authors designed an atmospheric correction method for nonhomogeneous atmosphere in this paper. The method is based on the traditional dark object subtraction (DOS) technique. In combination with the atmospheric radiative transfer model, the authors selected quite a few dark objects from Landsat TM imagery and calculated the atmospheric correction factor corresponding to each dark object. Then the atmospheric correction for entire image was carried out by making use of all dark objects synthetically. The main characteristic of this method is that it does not depend on any extraneous information. As the atmospheric nonhomogeneity is considered in this method, the precision of atmospheric correction is relatively high.

Keywords The west mountain coal field in Beijing      detachment structure      coalfield Structure      tectonics controlling coal seams     
: 

TP751

 
Issue Date: 24 July 2009
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Cite this article:   
QI Zhi-Xin, DENG Ru-Ru. THE ATMOSPHERIC CORRECTION METHOD FOR NONHOMOGENEOUS
ATMOSPHERE BASED ON MANY DARK OBJECTS[J]. REMOTE SENSING FOR LAND & RESOURCES,2007, 19(2): 16-19.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2007.02.04     OR     https://www.gtzyyg.com/EN/Y2007/V19/I2/16
[1] Xia Yan, Wang Wenxia, Zhang Dashun. STUDYING DETACHEMENT STRUCTURE USING REMOTE SENSING IMAGERY IN THE WEST MOUNTAIN COAL FIELD IN BEIJING[J]. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(4): 26-31.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech