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http://dx.doi.org/10.7848/ksgpc.2020.38.6.655

SGM Performance Improvement of Stereo Satellite Image with Classified Image and Edge Image  

Lee, Hyoseong (Dept. of Civil Engineering, Sunchon National University)
Park, Byungwook (School of Civil & Environmental Engineering, Hankyong National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.38, no.6, 2020 , pp. 655-661 More about this Journal
Abstract
SGM (Semi Global Matching) can be used to find all the conjugate points between stereo images. Therefore, it enables high-density DSM (Digital Surface Model) production from high-resolution satellite images. However, water, shadows, and occlusion areas cause mismatching of the surrounding points in this method. Particularly, in buildings with large-parallax and elongated-shapes such as a Korean style apartment, it is difficult to reconstruct the 3D building even if the SGM method is applied to a high-resolution 50cm satellite image. This study proposed and performed the SGM technique with a classified image and an edge image from the IKONOS-2 satellite stereo-image with a 1m resolution to produce DSM. It was compared with the DSMs from the general SGM and the high-density ABM (Area Based Matching) matching of ERDAS software. The results of the apartment DSM by the proposed method were the best in the test area. As a result, despite the image having a resolution of 1m, the outline of the building DSM could be expressed more clearly than the existing method.
Keywords
SGM; DSM; Classified Image; Edge Image; IKONOS-2;
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Times Cited By KSCI : 6  (Citation Analysis)
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