The ATR Workbench is a software application to assist in the development of automation techniques for target recognition within SAR imagery. This allows 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 enables studies to determine which aspects 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 an operating system 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.


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