Title :
Atmospheric correction of SPOT satellite images based on radiation transfer model
Author :
Haifeng, Hu ; Jianrong, Kang ; Xiaoke, Zhang ; Kaiyuan, Du
Author_Institution :
Sch. of Min. Eng., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
Atmospheric correction can eliminate radiation distortion of remote sensing images caused by atmospheric effects and is the basis of data processing for dynamic monitoring of quantitative indicators. In this paper, 6S and FLAASH based on radiation transfer model are applied to atmospheric correction of SPOT4 image. Judging from the results of correction, atmospheric correction can obtain features reflectivity and expand the scope of the NDVI. But compared with FLAASH model and 6S model, the former can not remove aerosols in SPOT 4 satellite images, the latter can obtain accurate features reflectivity and vegetation index, providing the basis for the next step of information analysis.
Keywords :
aerosols; image processing; remote sensing; 6S model; FLAASH model; SPOT 4 satellite images; SPOT satellite images; SPOT4 image; aerosols; atmospheric correction; data processing; dynamic monitoring; quantitative indicators; radiation distortion elimination; radiation transfer model; remote sensing images; Atmospheric measurements; Atmospheric modeling; Atmospheric waves; Bismuth; Carbon dioxide; Educational institutions; Image resolution; 6S model; FLAASH model; atmospheric correction;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5619149
