Target signature manifold methods applied to MSTAR dataset: preliminary results

Michael Lee Bryant

doi:10.1117/12.438232

27 August 2001 Target signature manifold methods applied to MSTAR dataset: preliminary results

Michael Lee Bryant

Proceedings Volume 4382, Algorithms for Synthetic Aperture Radar Imagery VIII; (2001) https://doi.org/10.1117/12.438232
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

The primary contribution of this paper is to demonstrate the application of signature manifold methods on the MSTAR data. Three manifold estimation methods (FIR, FFT, and Kalman smoothing) are compared to a baseline algorithm, MSE. The preliminary results show the manifold methods perform just as well as the baseline algorithm and have the potential for increased performance. In addition, both GLRT and Bayes hypothesis test algorithms are demonstrated for all of the manifold estimation algorithms.

Citation Download Citation

Michael Lee Bryant "Target signature manifold methods applied to MSTAR dataset: preliminary results", Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); https://doi.org/10.1117/12.438232

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