ATR workbench for automating image analysis

Ryan A. English; Steve J. Rawlinson; Nicholas M. Sandirasegaram

doi:10.1117/12.487123

12 September 2003 ATR workbench for automating image analysis

Ryan A. English, Steve J. Rawlinson, Nicholas M. Sandirasegaram

Proceedings Volume 5095, Algorithms for Synthetic Aperture Radar Imagery X; (2003) https://doi.org/10.1117/12.487123
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Ryan A. English, Steve J. Rawlinson, and Nicholas M. Sandirasegaram "ATR workbench for automating image analysis", Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); https://doi.org/10.1117/12.487123

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