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http://dx.doi.org/10.7848/ksgpc.2015.33.1.1

Generation of Simulated Image from Atmospheric Corrected Landsat TM Images  

Lee, Soo Bong (Dept. of Advanced Technology Fusion, Konkuk University)
La, Phu Hien (Dept. of Advanced Technology Fusion, Konkuk University)
Eo, Yang Dam (Division of Interdisciplinary Studies, Dept. of Advanced Technology Fusion, Konkuk University)
Pyeon, Mu Wook (Dept. of Civil Engineering, Konkuk University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.33, no.1, 2015 , pp. 1-9 More about this Journal
Abstract
A remote sensed image simulation following to weather and season conditions can be performed by a reverse atmospheric correction which is a function of image preprocessing. In this study, we have made an experiment to generate the simulated image to the raw image, which is prior to the atmospheric corrected images under the specific weather conditions. The applied methods in this study were the Forster algorithm (1984) and 6S RTM (Radiative Transfer Model). The simulated images has been compared with the original image to analyze compliances. In fact, the results from 6S RTM method show better compliances than Forster, with a mean of RMSE of DN difference 9.35 and a mean of $R^2$ 0.7. In conclusion, a simulated image has practical feasibility when similar to the period and season as the reference image.
Keywords
Atmospheric Correction; Simulated Image; Surface Reflectance; 6S Radiative Transfer Model;
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Times Cited By KSCI : 3  (Citation Analysis)
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