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Proceedings Paper

Statistical parametric signature/sensor/detection model for multispectral mine target detection
Author(s): Craig R. Schwartz; Arthur C. Kenton; William F. Pont; Brian J. Thelen
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Paper Abstract

A statistical parametric multispectral sensor performance model was developed by ERIM to support mine field detection studies, multispectral sensor design/performance trade-off studies, and target detection algorithm development. The overall model incorporates four components; a mission flight model, a multispectral target and background signature model, a multispectral sensor model, and a multispectral target detection model. Emphasis is placed on estimating the effects of mission multispectral target detection algorithms. Thus, the model ideally supports mission and multispectral sensor trade studies which require optimization of the system's overall target detection performance. The model and a typical example of performance prediction results are presented.

Paper Details

Date Published: 20 June 1995
PDF: 17 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211319
Show Author Affiliations
Craig R. Schwartz, Environmental Research Institute of Michigan (United States)
Arthur C. Kenton, Environmental Research Institute of Michigan (United States)
William F. Pont, Environmental Research Institute of Michigan (United States)
Brian J. Thelen, Environmental Research Institute of Michigan (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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