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Proceedings Paper

Bayesian neural networks for SAR feature extraction
Author(s): Achotham D. Nair; Igor V. Ternovskiy
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Paper Abstract

In this paper we explore the ISMP (Isomorphic Singular Manifold Projection) technique's capability for classification. The ISMP decomposes an image into a surface sculpture or manifolds represented by polynomials and a texture image. A Bayesian neural network with Hybrid Monte Carlo learning is used to classify the texture image features. The preliminary results are encouraging and the ISMP is promising as a new texture classification scheme.

Paper Details

Date Published: 2 October 1998
PDF: 4 pages
Proc. SPIE 3464, Optical Devices and Methods for Microwave/Millimeter-Wave and Frontier Applications, (2 October 1998); doi: 10.1117/12.323149
Show Author Affiliations
Achotham D. Nair, Physical Optics Corp. (United States)
Igor V. Ternovskiy, Physical Optics Corp. (United States)

Published in SPIE Proceedings Vol. 3464:
Optical Devices and Methods for Microwave/Millimeter-Wave and Frontier Applications
Mario Nicola Armenise; Lev S. Sadovnik; Walter Pecorella; Lev S. Sadovnik, Editor(s)

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