文章基本信息

标题：Remote sensing image segmentation with probabilistic neural networks
本地全文：下载
作者：Liu Gang
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2005
卷号：8
期号：1
页码：28-32
DOI：10.1007/BF02826988
出版社：Taylor and Francis Ltd
摘要：This paper focuses on the image segmentation with probabilistic neural networks (PNNs). Back propagation neural networks (BpNNs) and multi perceptron neural networks (MLPs) are also considered in this study. Especially, this paper investigates the implementation of PNNs in image segmentation and optimal processing of image segmentation with a PNN. The comparison between image segmentations with PNNs and with other neural networks is given. The experimental results show that PNNs can be successfully applied to image segmentation for good results.
关键词：image segmentation; probabilistic neural network(PNN)