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Proceedings Paper

Orthoimage seamline searching based on minimizing local maximum algorithm
Author(s): Can Zhong; Yiliu Yang
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Paper Abstract

Searching for a seamline kept away from area with great differece between overlapping orthoimages is significant for orthoimage mosaic, which is an important step in Digital Orthoimage Map(DOM) production.A method combine Minimizing Local Maximum Algotirhm and Greedy Select Algorithm for seamline searching is introduced. In process of searching, maximum differece along the seam-line is limited. Results show that this method is self-adaptable and is able to accomplish high quality seam-line searching.

Paper Details

Date Published: 16 August 2011
PDF: 6 pages
Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030H (16 August 2011); doi: 10.1117/12.910394
Show Author Affiliations
Can Zhong, Remote Sensing College of Wuhan Univ. (China)
Yiliu Yang, Wuda Geoinformatics Co., Ltd. (China)


Published in SPIE Proceedings Vol. 8203:
Remote Sensing of the Environment: The 17th China Conference on Remote Sensing
Qingxi Tong; Xingfa Gu; Boqin Zhu, Editor(s)

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