• Title/Summary/Keyword: Detect and Restore Occlusion Areas

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A Study on True Ortho-photo Generation Using Epipolar Geometry and Classification Algorithm (에피폴라 기하와 군집화 알고리즘을 이용한 정밀 정사투영영상 제작에 관한 연구)

  • Oh, Kum-Hui;Hwang, Hyun-Deok;Kim, Jun-Chul;Shin, Sung-Woong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.26 no.6
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    • pp.633-641
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    • 2008
  • This study introduces the method of detecting and restoring occlusion areas by using epipolar algorithm and K-means classification algorithm for true ortho-photo generation. In the past, the techniques of detecting occlusion areas are using the reference images or information of buildings. But, in this study the occlusion areas can be automatically detected by using DTM data and exterior orientation parameters. The detected occlusion areas can be restored by using anther images or the computed values which are determined in K-means classification algorithm. In addition, this method takes advantages of applying epipolar algorithm in order to find same location in overlapping areas among images.