Multiple observer siting and path planning on a compressed terrain

Daniel M. Tracy; W. Randolph Franklin; Barbara Cutler; Marcus Andrade; Franklin T. Luk; Metin Inanc; Zhongyi Xie

doi:10.1117/12.741225

25 September 2007 Multiple observer siting and path planning on a compressed terrain

Daniel M. Tracy, W. Randolph Franklin, Barbara Cutler, Marcus Andrade, Franklin T. Luk, Metin Inanc, Zhongyi Xie

Proceedings Volume 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII; 66970G (2007) https://doi.org/10.1117/12.741225
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

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.

Citation Download Citation

Daniel M. Tracy, W. Randolph Franklin, Barbara Cutler, Marcus Andrade, Franklin T. Luk, Metin Inanc, and Zhongyi Xie "Multiple observer siting and path planning on a compressed terrain", Proc. SPIE 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII, 66970G (25 September 2007); https://doi.org/10.1117/12.741225

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