Land mine performance bounds in various background using airborne 808 nm laser imagery

Hanna Tran Haskett; Ronald R. Rupp

doi:10.1117/12.479059

13 August 2002 Land mine performance bounds in various background using airborne 808-nm laser imagery

Hanna Tran Haskett, Ronald R. Rupp

Proceedings Volume 4742, Detection and Remediation Technologies for Mines and Minelike Targets VII; (2002) https://doi.org/10.1117/12.479059
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

This paper quantifies the overall detection performance for landmines in various background and solar conditions in an attempt to provide the performance bounds for airborne mine detection systems. Specifically, for comparison purposes, this paper quantifies the detection performance based on the RX detection algorithm implemented as the baseline LAMD approach, RX implementation as a correlation operator, and intensity thresholding approach using airborne laser imagery. The generated receiver operating characteristic (ROC) curves, in turn, provide a good basis for system trade-off study in terms of computational time and complexity, and performance benefit for real-time systems. This paper includes the ROC curves with and without man-made objects to access the effect of the man-made objects based on these algorithms. The paper uses two subsets from the December 2000 and June 2001 airborne data collections using the SciTech Breadboard 808nm laser at a U.S. Army test site. The total mine opportunities and the area coverage are 1619 and 146,000 m2, respectively. The total number of man-made objects are 800 (approximately 137 images of which each image contains approximately 8 man-made objects). The man-made object list contains mine sized aluminum plates and wood, coke cans and others. Mine list contains M20, M19, TM62M, TM62P2, TM62P3, RAAM, VS1.b.

Citation Download Citation

Hanna Tran Haskett and Ronald R. Rupp "Land mine performance bounds in various background using airborne 808-nm laser imagery", Proc. SPIE 4742, Detection and Remediation Technologies for Mines and Minelike Targets VII, (13 August 2002); https://doi.org/10.1117/12.479059

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