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http://dx.doi.org/10.7780/kjrs.2017.33.6.3.4

Shadow Detection and Correction Method for Urban Area using KOMPSAT-3 Image  

Park, Sung-Hwan (Department of Geoinformatics, University of Seoul)
Lee, Gyu-Seok (Department of Geoinformatics, University of Seoul)
Jung, Hyung-Sup (Department of Geoinformatics, University of Seoul)
Publication Information
Korean Journal of Remote Sensing / v.33, no.6_3, 2017 , pp. 1197-1213 More about this Journal
Abstract
This study was carried out to correct shadow area in urban area on KOMPSAT-3 satellite image. For this study, we analyzed characteristics of the shadow area represented by artificial structures in urban area. The proposed shadow correction method divides shadow area into umbra and penumbra areas according to intensity of darkness. The umbra area was detected through the histogram analysis and the statistical method of the NIR image, and then penumbra area and the sunlit area were detected from around the detected umbra area. The correction of the detected umbra and penumbra area were performed by applying the linear correlation correction method. As a result, it was confirmed that the proposed shadow correction method was visually performed well. Quantitative analysis was performed through profile analysis. It is proved that proposed method is useful for shadow area correction.
Keywords
KOMPSAT-3; Umbra; Penumbra; Shadow Area Correction;
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Times Cited By KSCI : 7  (Citation Analysis)
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