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Proceedings Paper

An ATR challenge problem using HRR data
Author(s): Bart Kahler; John Querns; Greg Arnold
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Paper Abstract

This paper describes the automatic target recognition (ATR) challenge problem which includes source code for a baseline ATR algorithm, display utilities for the results, and a high range resolution (HRR) data set consisting of 10 civilian vehicles. The Ku-band data in this data set has been processed into 1-dimensional range profiles of vehicles in the open, moving in a straight line. It is being released to the ATR community to facilitate the development of new and improved HRR identification algorithms which can provide greater confidence and very high identification performance. The intent of the baseline algorithm included with this challenge problem is to provide an ATR performance comparison to newly developed algorithms. Single-look identification performance results using the baseline algorithm and the data set are provided as a starting point for algorithm developers. Both the algorithm and data set can support single look and multi-look target identification.

Paper Details

Date Published: 15 April 2008
PDF: 12 pages
Proc. SPIE 6970, Algorithms for Synthetic Aperture Radar Imagery XV, 69700S (15 April 2008); doi: 10.1117/12.778018
Show Author Affiliations
Bart Kahler, General Dynamics (United States)
John Querns, General Dynamics (United States)
Greg Arnold, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 6970:
Algorithms for Synthetic Aperture Radar Imagery XV
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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