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http://dx.doi.org/10.7319/kogsis.2013.21.2.093

Analysis of Shadow Effect on High Resolution Satellite Image Matching in Urban Area  

Yeom, Jun Ho (Department of Civil and Environmental Engineering, Seoul National University)
Han, You Kyung (Department of Civil and Environmental Engineering, Seoul National University)
Kim, Yong Il (Department of Civil and Environmental Engineering, Seoul National University)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.21, no.2, 2013 , pp. 93-98 More about this Journal
Abstract
Multi-temporal high resolution satellite images are essential data for efficient city analysis and monitoring. Yet even when acquired from the same location, identical sensors as well as different sensors, these multi-temporal images have a geometric inconsistency. Matching points between images, therefore, must be extracted to match the images. With images of an urban area, however, it is difficult to extract matching points accurately because buildings, trees, bridges, and other artificial objects cause shadows over a wide area, which have different intensities and directions in multi-temporal images. In this study, we analyze a shadow effect on image matching of high resolution satellite images in urban area using Scale-Invariant Feature Transform(SIFT), the representative matching points extraction method, and automatic shadow extraction method. The shadow segments are extracted using spatial and spectral attributes derived from the image segmentation. Also, we consider information of shadow adjacency with the building edge buffer. SIFT matching points extracted from shadow segments are eliminated from matching point pairs and then image matching is performed. Finally, we evaluate the quality of matching points and image matching results, visually and quantitatively, for the analysis of shadow effect on image matching of high resolution satellite image.
Keywords
Image Matching; Shadow Extraction; Shadow Effect; High Resolution Satellite Image;
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Times Cited By KSCI : 2  (Citation Analysis)
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