Performance of an automatic target recognizer algorithm against real and two versions of synthetic imagery-Reference-Cited by-同舟云学术

Performance of an automatic target recognizer algorithm against real and two versions of synthetic imagery

Published:2000-08-01 Issue:8 Volume:39 Page:2279
ISSN:0091-3286
Container-title:Optical Engineering
language:en
Short-container-title:Opt. Eng

Author:

Walters Clarence P.

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference14 articles.

1. Aided and automatic target recognition based upon sensory inputs from image forming systems

2. D. Nair and J. K. Aggarwal, “Robust automatic target recognition in second generation FLIR images,” inProc. 1996 Workshop on Applications of Computer Vision, Sarasota, FL, pp. 194–201 (1996).

3. A. Lanterman, M. I. Miller, and D. L. Snyder, “Automatic target recognition via the simulation of infrared scenes,” inProc. Sixth Annual Ground Target Modeling and Validation Conf., Keweenaw Research Center, Michican Tech Univ. pp. 195–204 (1995).

4. Removing the automatic target recognition performance evaluation bottleneck: the C2NVEO AUTOSPEC facility

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