Bayesian neural networks for SAR feature extraction

Achotham D. Nair; Igor V. Ternovskiy

doi:10.1117/12.323149

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.

Citation Download Citation

Achotham D. Nair, Achotham D. Nair, Igor V. Ternovskiy, Igor V. Ternovskiy, } "Bayesian neural networks for SAR feature extraction", Proc. SPIE 3464, Optical Devices and Methods for Microwave/Millimeter-Wave and Frontier Applications, (2 October 1998); doi: 10.1117/12.323149; https://doi.org/10.1117/12.323149

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