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Proceedings Paper

Physics-based sensor effects prediction applied to a multispectral mine detection algorithm
Author(s): Bradford D. Williams; Bradley T. Blume
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Paper Abstract

Coastal System Station, Panama City, Florida, is developing an airborne multispectral visible mine detection system for detecting minefields in littoral regions. Nichols Research Corporation (NRC) in support of CSS has been tasked to develop mine detection algorithms. NRC developed a generic baseline mine detection algorithm in order to provide a stable reference by which to measure other algorithms and enhancements. This algorithm has also served as a baseline to be modified and enhanced as the nature of the data is better understood and discrimination methodology is refined. The baseline algorithm is described in this paper along with modifications which significantly improve its robustness and with the analyses which motivated those modifications.

Paper Details

Date Published: 20 June 1995
PDF: 13 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211375
Show Author Affiliations
Bradford D. Williams, Nichols Research Corp. (United States)
Bradley T. Blume, Nichols Research Corp. (United States)

Published in SPIE Proceedings Vol. 2496:
Detection Technologies for Mines and Minelike Targets
Abinash C. Dubey; Ivan Cindrich; James M. Ralston; Kelly A. Rigano, Editor(s)

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