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Proceedings Paper

Multiple observer siting and path planning on a compressed terrain
Author(s): Daniel M. Tracy; W. Randolph Franklin; Barbara Cutler; Marcus Andrade; Franklin T. Luk; Metin Inanc; Zhongyi Xie
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Paper Abstract

We examine a smugglers and border guards scenario. We place observers on a terrain so as to optimize their visible coverage area. Then we compute a path that a smuggler would take so as to avoid detection, while also minimizing the path length. We also examine how our results are affected by using a lossy representation of the terrain instead. We propose three new application-specific error metrics for evaluating terrain compression. Our target terrain applications are the optimal placement of observers on a landscape and the navigation through the terrain by smugglers. Instead of using standard metrics such as average or maximum elevation error, we seek to optimize our compression on the specific real-world application of smugglers and border guards.

Paper Details

Date Published: 25 September 2007
PDF: 12 pages
Proc. SPIE 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII, 66970G (25 September 2007); doi: 10.1117/12.741225
Show Author Affiliations
Daniel M. Tracy, Rensselaer Polytechnic Institute (United States)
W. Randolph Franklin, Rensselaer Polytechnic Institute (United States)
Barbara Cutler, Rensselaer Polytechnic Institute (United States)
Marcus Andrade, Rensselaer Polytechnic Institute (United States)
Univ. Federal de Viçosa (Brazil)
Franklin T. Luk, Rensselaer Polytechnic Institute (United States)
Metin Inanc, Rensselaer Polytechnic Institute (United States)
Zhongyi Xie, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 6697:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVII
Franklin T. Luk, Editor(s)

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