Physics-based sensor effects prediction applied to a multispectral mine detection algorithm

Bradford D. Williams; Bradley T. Blume

doi:10.1117/12.211375

20 June 1995 Physics-based sensor effects prediction applied to a multispectral mine detection algorithm

Bradford D. Williams, Bradley T. Blume

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211375
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Bradford D. Williams and Bradley T. Blume "Physics-based sensor effects prediction applied to a multispectral mine detection algorithm", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211375

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