Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- Volume 2
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- Pages.619-622
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- 2006
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- 1226-9743(pISSN)
DEVELOPMENT OF ATMOSPHERIC CORRECTION ALGORITHM FOR HYPERSPECTRAL DATA USING MODTRAN MODEL
- Kim, Sun-Hwa (Inha University, Department of Geoinformatic Engineering) ;
- Kang, Sung-Jin (Inha University, Department of Geoinformatic Engineering) ;
- Ji, Jun-Hwa (Inha University, Department of Geoinformatic Engineering) ;
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Lee, Kyu-Sung
(Inha University, Department of Geoinformatic Engineering)
- Published : 2006.11.02
Abstract
Atmospheric correction is one of critical procedures to extract quantitative information related to biophysical variables from hyperspectral data. In this study, we attempted to generate the water vapor contents image from hyperspectral data itself and developed the atmospheric correction algorithm for EO-1 Hyperion data using pre-calculated atmospheric look-up-table (LUT) for fast processing. To apply the new atmospheric correction algorithm, Hyperion data acquired June 3, 2001 over Seoul area is used. Reflectance spectrums of various targets on atmospheric corrected Hyperion reflectance images showed the general spectral pattern although there must be further development to reduce the spectral noise.