An ATR challenge problem using HRR data

Bart Kahler; John Querns; Greg Arnold

doi:10.1117/12.778018

15 April 2008 An ATR challenge problem using HRR data

Bart Kahler, John Querns, Greg Arnold

Proceedings Volume 6970, Algorithms for Synthetic Aperture Radar Imagery XV; 69700S (2008) https://doi.org/10.1117/12.778018
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Bart Kahler, John Querns, and Greg Arnold "An ATR challenge problem using HRR data", Proc. SPIE 6970, Algorithms for Synthetic Aperture Radar Imagery XV, 69700S (15 April 2008); https://doi.org/10.1117/12.778018

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