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Proceedings Paper

Masked target transform volume clutter metric applied to vehicle search
Author(s): Richard K. Moore; H. A. Camp; Steve Moyer; Carl E. Halford
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Paper Abstract

The Night Vision and Electronic Sensors Directorate's current time-limited search model, which makes use of the targeting task performance (TTP) metric to describe imager quality, does not explicitly account for the effects of clutter on observer performance. The masked target transform volume (MTTV) clutter metric has been presented previously, but is first applied to the results of a vehicle search perception experiment with simulated thermal imagery here. NVESD's Electro-Optical Simulator program was used to generate hundreds of synthetic images of tracked vehicles hidden in a rural environment. 12 observers searched for the tracked vehicles and their performance is compared to the MTTV clutter level, signal-to-clutter ratios using several clutter metrics from open literature, and to the product of target size and contrast. The investigated clutter metrics included the Schmeider-Weathersby statistical variance, Silk's statistical variance, Aviram's probability of edge detection metric, and Chang's target structural similarity metric. The MTTV was shown to better model observer performance as measured by the perception experiment than any of the other compared metrics, including the product of target size and contrast.

Paper Details

Date Published: 22 April 2010
PDF: 11 pages
Proc. SPIE 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI, 76620M (22 April 2010); doi: 10.1117/12.850429
Show Author Affiliations
Richard K. Moore, U.S. ATEC DTC (United States)
H. A. Camp, EOIR Technologies (United States)
Steve Moyer, U.S. Army RDECOM CERDEC (United States)
Carl E. Halford, Univ. of Memphis (United States)

Published in SPIE Proceedings Vol. 7662:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI
Gerald C. Holst; Keith A. Krapels, Editor(s)

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