Ladar automatic target recognition using correlation filters

Melissa Tay Perona; Abhijit Mahalanobis; Karen Norris-Zachery

doi:10.1117/12.359973

24 August 1999 Ladar automatic target recognition using correlation filters

Melissa Tay Perona, Abhijit Mahalanobis, Karen Norris-Zachery

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359973
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Melissa Tay Perona, Abhijit Mahalanobis, and Karen Norris-Zachery "Ladar automatic target recognition using correlation filters", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359973

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