COBRA ATD minefield detection model initial performance analysis

V. Todd Holmes; Arthur C. Kenton; Russell J. Hilton; Ned H. Witherspoon; John H. Holloway Jr.

doi:10.1117/12.396206

22 August 2000 COBRA ATD minefield detection model initial performance analysis

V. Todd Holmes, Arthur C. Kenton, Russell J. Hilton, Ned H. Witherspoon, John H. Holloway Jr.

Proceedings Volume 4038, Detection and Remediation Technologies for Mines and Minelike Targets V; (2000) https://doi.org/10.1117/12.396206
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

A statistical performance analysis of the USMC Coastal Battlefield Reconnaissance and Analysis (COBRA) Minefield Detection (MFD) Model has been performed in support of the COBRA ATD Program under execution by the Naval Surface Warfare Center/Dahlgren Division/Coastal Systems Station . This analysis uses the Veridian ERIM International MFD model from the COBRA Sensor Performance Evaluation and Computational Tools for Research Analysis modeling toolbox and a collection of multispectral mine detection algorithm response distributions for mines and minelike clutter objects. These mine detection response distributions were generated form actual COBRA ATD test missions over littoral zone minefields. This analysis serves to validate both the utility and effectiveness of the COBRA MFD Model as a predictive MFD performance too. COBRA ATD minefield detection model algorithm performance results based on a simulate baseline minefield detection scenario are presented, as well as result of a MFD model algorithm parametric sensitivity study.

Citation Download Citation

V. Todd Holmes, Arthur C. Kenton, Russell J. Hilton, Ned H. Witherspoon, and John H. Holloway Jr. "COBRA ATD minefield detection model initial performance analysis", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396206

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