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Remote Sensing Image Segmentation with Probabilistic Neural Networks
作者姓名:LIUGang
作者单位:lecturer,SchoolofElectronicInformationEngineering,WuhanUniversity,129LuoyuRoad,Wuhan430079,China.
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:图像分割  概率神经网络  遥感测量  光学处理
收稿时间:7 July 2004

Remote sensing image segmentation with probabilistic neural networks
LIUGang.Remote Sensing Image Segmentation with Probabilistic Neural Networks[J].Geo-Spatial Information Science,2005,8(1):28-32.
Authors:Liu Gang
Institution:(1) School of Electronic Information Engineering, Wuhan University, 129 Luoyu Road, 430079 Wuhan, China
Abstract: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.
Keywords:image segmentation  probabilistic neural network(PNN)
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