Target classification using spatially flexible directed pursuits

Andrew McKellips; Mark R. McClure; Michael Chu; Randy K. Avent

doi:10.1117/12.395588

17 August 2000 Target classification using spatially flexible directed pursuits

Andrew McKellips, Mark R. McClure, Michael Chu, Randy K. Avent

Proceedings Volume 4050, Automatic Target Recognition X; (2000) https://doi.org/10.1117/12.395588
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

There has been much attention given to the characterization of canonical scattering phenomena in complex synthetic aperture radar (SAR) imagery for the purpose of classification. These features are often extracted using greedy algorithms, such as Matching Pursuits, which attempt to extract a low-dimensional representation of a given SAR image using a prescribed feature dictionary. As results to date have been predominantly anecdotal in nature, it is of interest to assess the utility of these techniques in full automated target classification applications. In this investigation, we will focus on the potential incorporation of such techniques into automatic target recognition (ATR) systems. The primary issues addressed in this paper include robust feature extraction techniques and the development of effective likelihood-of-match metrics operating in feature space. A specific implementation is presented where robust feature extraction is achieved via a new technique called Directed Pursuits. Directed Pursuits constitutes a feature extraction process from a test image driven by a feature decomposition previously obtained via Matching Pursuits from a training image. Directed Pursuits additionally allows for spatial flexibility in the test extraction process, representative of natural intra-class variations exhibited by real target classes. Likelihood metrics will be motivated and described, and associated results presented and interpreted in the context of both airborne and compact range X-band SAR data.

Citation Download Citation

Andrew McKellips, Mark R. McClure, Michael Chu, and Randy K. Avent "Target classification using spatially flexible directed pursuits", Proc. SPIE 4050, Automatic Target Recognition X, (17 August 2000); https://doi.org/10.1117/12.395588

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