Bayesian neural networks for SAR feature extraction

被引：0
|
作者：
Nair, AD [1 ]
Ternovskiy, IV [1 ]
机构：
[1] Phys Opt Corp, Torrance, CA 90505 USA
来源：
OPTICAL DEVICES AND METHODS FOR MICROWAVE/MILLIMETER-WAVE AND FRONTIER APPLICATIONS | 1998年 / 3464卷
关键词：
isomorphic; singular; manifold projection; Bayesian net; classification;
D O I：
10.1117/12.323149
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
引用
收藏
页码：257 / 260
页数：4
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