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Proceedings Paper

ATR workbench for automating image analysis
Author(s): Ryan A. English; Steve J. Rawlinson; Nicholas M. Sandirasegaram
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Paper Abstract

The ATR Workbench is an evaluation platform implemented to assist in the development of automation techniques for target recognition within SAR imagery. This will allow researchers and Image Analysts (IAs) to investigate the capabilities of various commercial and experimental applications, singly or in combination, as applied to the target recognition process. The platform will enable studies to determine which aspects of the target recognition process improve IA performance when automated, which methods best improve classifier performance, as well as which methods work better for particular environments and target class definitions. Based largely on open-source tools, the Workbench was developed so as to provide a platform independent bridge between automatic target detection (ATD) applications and target classifiers. It is capable of importing several kinds of ATD reports, of applying different feature extraction and preprocessing algorithms and of implementing various aspects of automatic target recognition (ATR) applications while importing, displaying and reporting their results. Each step may be automated or operated interactively, as required. Initially, this capability is demonstrated on imagery based upon the public MSTAR data set.

Paper Details

Date Published: 12 September 2003
PDF: 9 pages
Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); doi: 10.1117/12.487123
Show Author Affiliations
Ryan A. English, Defence Research and Development Canada (Canada)
Steve J. Rawlinson, MacDonald, Dettwiler and Associates Ltd. (Canada)
Nicholas M. Sandirasegaram, Defence Research and Development Canada (Canada)


Published in SPIE Proceedings Vol. 5095:
Algorithms for Synthetic Aperture Radar Imagery X
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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