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Proceedings Paper

Demonstration of an automatic target recognition algorithm simulation and evaluation testbed for mine detection algorithms
Author(s): Bryan S. Ware; George B. Maksymonko; David E. Poole
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Paper Abstract

The US Army Night Vision and Electronic Sensors Directorate's Countermine Division has received and evaluated automatic target recognition (ATR) algorithms for a number of years. As part of the Army's Advanced Standoff Mine Detection System (ASTAMIDS) program, Camber Corporation has developed an algorithm simulation and evaluation testbed (ASET) that is capable of testing various ATR algorithms on a variety of images. The ASET tool has been designed to support any image type and contains an extensive database of images from ASTAMIDS and previous mine detection programs including REMIDS and AMIDARS, as well as data from SAR and other sources that may be queried and used to exercise a given algorithm. Algorithms can be easily converted into the ASET environment and executed on selected imagery. ASET accurately simulates the execution of algorithms, tests and grades their performance, and allows manipulation and enhancements of the algorithms during execution. This software runs on a variety of computer platforms and allows ATR algorithms to be evaluated under a variety of circumstances.

Paper Details

Date Published: 20 June 1995
PDF: 6 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211379
Show Author Affiliations
Bryan S. Ware, Camber Corp. (United States)
George B. Maksymonko, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
David E. Poole, U.S. Army Night Vision & Electronic Sensors Directorate (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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