Statistical parametric signature/sensor/detection model for multispectral mine target detection

Craig R. Schwartz; Arthur C. Kenton; William F. Pont Jr.; Brian J. Thelen

doi:10.1117/12.211319

20 June 1995 Statistical parametric signature/sensor/detection model for multispectral mine target detection

Craig R. Schwartz, Arthur C. Kenton, William F. Pont Jr., Brian J. Thelen

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211319
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Craig R. Schwartz, Arthur C. Kenton, William F. Pont Jr., and Brian J. Thelen "Statistical parametric signature/sensor/detection model for multispectral mine target detection", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211319

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