RADIOMETRIC RESTORATION OF SHADOW AREAS FROM KOMPSAT-2 IMAGERY

  • Choi, Jae-Wan (Department of Civil and Environmental Engineering, Seoul National University) ;
  • Kim, Hye-Jin (Department of Civil and Environmental Engineering, Seoul National University) ;
  • Han, You-Kyung (Department of Civil and Environmental Engineering, Seoul National University) ;
  • Kim, Yong-II (Department of Civil and Environmental Engineering, Seoul National University)
  • Published : 2008.10.29

Abstract

In very high-spatial resolution remote sensing imagery, it is difficult to extract the feature information of various objects because of occlusion and shadows. Moreover, various and feeble information within shadows can be of use in GIS-based applications and remote sensing analysis. In this paper, we developed a radiometric restoration method for shadow areas using KOMPSAT-2 satellite image. After detecting the shadow, non-shadow pixels nearby are extracted using a morphological filter. An iterative linear regression method is applied to calculate the relationship between shadow and non-shadow pixels. The shadows are restored by the parameters of the linear regression algorithm. Tests show that recovery of shadowed areas by our method leads to improved image quality.

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