Acta Geodaetica et Cartographica Sinica ›› 2015, Vol. 44 ›› Issue (8): 877-883.doi: 10.11947/j.AGCS.2015.20140421

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A Seam Line Detection Algorithm for Orthophoto Mosaicking Based on Disparity Image

YUAN Xiuxiao1,2, DUAN Mengmeng1, CAO Jinshan3   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
    2. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China;
    3. School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China
  • Received:2014-08-08 Revised:2014-12-23 Online:2015-09-20 Published:2015-09-02
  • Supported by:

    The National Basic Research Program of China(973 Program)(No.2012CB719902);The National Natural Science Foundation of China(No. 41371432);Major Projects of High-resolution Earth Observation System(No.50-H31D01-0508-13/15)

Abstract:

This paper proposes a regional seam line detection algorithm based on the disparity image of the orthophoto. Firstly, the disparity images of the stereo pair are generated by using the SGM (semi-global matching)method, and the small noises are removed through the adaptive threshold. Then, the mathematical morphology method is used to further eliminate the noises and to fill the small holes on the disparity image in order to accurately separate out the non-ground area. Lastly, the seam line is detected using the improved greedy snake algorithm which with better robustness. The experimental result has shown that our method is effective and is able to acquire an optimized seam line that passed around the entities above the ground.

Key words: digital orthophoto map(DOM), seam line, disparity image, greedy snake algorithm

CLC Number: