DOI QR코드

DOI QR Code

ATC: An Image-based Atmospheric Correction Software in MATLAB and SML

  • Choi, Jae-Won (Department of Earth System Sciences, Yonsei University) ;
  • Won, Joong-Sun (Department of Earth System Sciences, Yonsei University) ;
  • Lee, Sa-Ro (Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources(KIGAM))
  • Published : 2008.10.31

Abstract

An image-based atmospheric correction software ATC is implemented using MATLAB and SML (Spatial Modeler Language in ERDAS IMAGINE), and it was tested using Landsat TM/ETM+ data. This ATC has two main functional modules, which are composed of a semiautomatic type and an automatic type. The semi-automatic functional module includes the Julian day (JD), Earth-Sun distance (ESD), solar zenith angle (SZA) and path radiance (PR), which are programmed as individual small functions. For the automatic functional module, these parameters are computed by using the header file of Landsat TM/ETM+. Three atmospheric correction algorithms are included: The apparent reflectance model (AR), one-percent dark object subtraction technique (DOS), and cosine approximation model (COST). The ACT is efficient as well as easy to use in a system with MATLAB and SML.

Keywords

References

  1. Chander, G. and B. Markham, 2003. Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing, 41(11): 2674-2677 https://doi.org/10.1109/TGRS.2003.818464
  2. Chander, G., B. Markham, and J. Barsi, 2007. Revised Landsat-5 thematic mapper radiometric calibration. IEEE Geoscience and Remote Sensing Letters, 4(3): 490-494 https://doi.org/10.1109/LGRS.2007.898285
  3. Chavez, P. S. Jr., 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data, Remote Sensing of Environment, 24: 459-479 https://doi.org/10.1016/0034-4257(88)90019-3
  4. Chavez, P. S. Jr., 1996. Image-based atmospheric corrections revisited and improved. Photogrammetric Engineering & Remote Sensing, 62(9): 1025-1036
  5. Cracknell, A. P. and L. W. Hayes, 1993. Atmospheric corrections to passive satellite remote sensing data, In: Introduction to Remote Sensing, Taylor & Francis Press, London, pp. 116-158
  6. Moran, M. S., R. D. Jackson, P. N. Slater, and P. M. Teillet, 1992. Evaluation of simplified procedures for retrieval of land surface reflectance factors from satellite sensor output. Remote Sensing of Environment, 41: 169-184 https://doi.org/10.1016/0034-4257(92)90076-V