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Proceedings Paper

Ladar automatic target recognition using correlation filters
Author(s): Melissa Tay Perona; Abhijit Mahalanobis; Karen Norris-Zachery
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Paper Abstract

Correlation filters have been successfully utilized for object detection in many applications. Each sensor type, however, presents different advantages and challenges. This paper describes the application of correlation filter techniques for automatic target recognition (ATR) to Laser Radar (LADAR) sensor images. Filters are designed using synthetic models, and incorporate range and aspect tolerance for mobile objects. The model generator easily takes into account the sensor field of view (FOV), look-down angle, ground cell size, and shadows. The filters are also designed to exploit various coordinate transforms that are feasible with a LADAR sensor. The correlation algorithm has the unique potential of exploiting the intensity information in conjunction with the range measurements provided by the LADAR. Examples using fixed and mobile targets are presented, along with statistical performance results.

Paper Details

Date Published: 24 August 1999
PDF: 9 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359973
Show Author Affiliations
Melissa Tay Perona, Raytheon Missile Systems Co. (United States)
Abhijit Mahalanobis, Raytheon Missile Systems Co. (United States)
Karen Norris-Zachery, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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