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http://dx.doi.org/10.7319/kogsis.2012.20.2.047

Selective Histogram Matching of Multi-temporal High Resolution Satellite Images Considering Shadow Effects in Urban Area  

Yeom, Jun-Ho (서울대학교 건설환경공학부)
Kim, Yong-Il (서울대학교 건설환경공학부)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.20, no.2, 2012 , pp. 47-54 More about this Journal
Abstract
Additional high resolution satellite images, other period or site, are essential for efficient city modeling and analysis. However, the same ground objects have a radiometric inconsistency in different satellite images and it debase the quality of image processing and analysis. Moreover, in an urban area, buildings, trees, bridges, and other artificial objects cause shadow effects, which lower the performance of relative radiometric normalization. Therefore, in this study, we exclude shadow areas and suggest the selective histogram matching methods for image based application without supplementary digital elevation model or geometric informations of sun and sensor. We extract the shadow objects first using adjacency informations with the building edge buffer and spatial and spectral attributes derived from the image segmentation. And, Outlier objects like a asphalt roads are removed. Finally, selective histogram matching is performed from the shadow masked multi-temporal Quickbird-2 images.
Keywords
Selective Histogram Matching; Shadow Extraction; High Resolution Satellite Image;
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