Title :
Spectral Reconstruction of Hyperion Data Based on FLAASH Model
Author :
Liu, Suihua ; Yan, Lei ; Duan, Yini ; Yang, Bin
Author_Institution :
Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
Abstract :
A method of spectral reconstruction based on FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hyper cubes) is introduced in this paper. A scene of Hyper ion image is adopted with hyper spectral data in October 14th, 2008 in the Mountainous regions of Guizhou. The FLAASH model is adopted spectral reconstruction five typical objects. Atmospheric water vapor absorption band are removed (1346nm-1467nm and 1800nm-1971nm). The results show that, Vegetation reflectance in the visible band has a significant reflectance peak in green band, and have high reflection in the near infrared region due to multiple scattering effects. Water in the entire spectral range has a low reflection. Experiment and reasonable result could be achieved to improve performance of Hyperion.
Keywords :
atmospheric humidity; atmospheric techniques; geophysical image processing; image reconstruction; AD 2008 10 14; FLAASH model; Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes; Guizhou mountainous regions; Hyperion data; Hyperion image; atmospheric water vapor absorption band; green band; hypersepctral data; infrared region; multiple scattering effects; reflectance peak; remote sensing data; spectral reconstruction; vegetation reflectance; Atmospheric measurements; Atmospheric modeling; Hyperspectral imaging; Image reconstruction; Reflectivity; Terrestrial atmosphere; FLAASH; atmosphere correction; hyperion; spectral reconstruction;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.386
