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Proceedings Paper

Application of synthetic imagery to target detection algorithm research
Author(s): Bradley T. Blume; Bradford D. Williams
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Paper Abstract

A multispectral modeling methodology has been developed by Nichols Research Corporation (NRC) in support of the Joint Mine Detection Technology Program at Coastal Systems Station, Panama City, FL. The modeling technique is an extension of NRC's Minefield Image Synthesis Tool. Synthetic imagery generated using this methodology has been compared to measured imagery with excellent results. Multispectral images from an intensified multispectral camera being flown over a minefield have been synthetically generated. This sequence of images was processed by NRC's baseline mine detection algorithm. The results were compared to images generated during a flight test. The conclusion is that the model can predict the automatic target recognition (ATR) algorithm's performance. This paper describes the minefield signature modeling methodology, presents a case study of the comparison of a synthetic scene and a measured scene, and indicates the lessons learned about the phenomenological causes of the mine and background signatures and their effects on a particular class of mine detection algorithms.

Paper Details

Date Published: 20 June 1995
PDF: 14 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211322
Show Author Affiliations
Bradley T. Blume, Nichols Research Corp. (United States)
Bradford D. Williams, Nichols Research Corp. (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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