Paper
15 August 2011 Orthoimage seamline searching based on minimizing local maximum algorithm
Can Zhong, Yiliu Yang
Author Affiliations +
Proceedings Volume 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing; 82030H (2011) https://doi.org/10.1117/12.910394
Event: Seventeenth China Symposium on Remote Sensing, 2010, Hangzhou, China
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Can Zhong and Yiliu Yang "Orthoimage seamline searching based on minimizing local maximum algorithm", Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030H (15 August 2011); https://doi.org/10.1117/12.910394
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KEYWORDS
Stereolithography

Image processing

Remote sensing

Visualization

Computer vision technology

Digital photography

Geoinformatics

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