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基于BP神经网络改进算法的遥感图像分类试验

Experiment on Classification of Remote Sensing Image Based on Improvement of BP Algoritm

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BP神经网络分类方法是一种新的模式识别方法,在。感图像分类识别处理中有良好的应用前景。本文在阐明标准BP算法及其改进算法---Levenberg-Marquardt算法的基础上,介绍了BP神经网络的。感图像分类过程,并在MATLAB平台下对基于BP神经网络的分类算法进行了试验。实验结果表明基于BP神经网络的。感图像分类方法是一种有效的图像分类方法。
The classification based on BP neural network is a new pattern recognition method and has a wide applied future in the field of remote sensing image processing. Based on discussing BP Algorithm and its Improvement-LM algorithm,this paper describes the course of the classification of remote sensing Image on BP neural network and presents the classification algorithm of BP Neural Network developed using Matlab. The experimental results demonstrate that the classification method based on BP neural network is an effective approach.

BP neural networkLM algorithmClassification of remote sensing image

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山东省煤田地质局物探测量队,山东泰安270001

BP神经网络 Levenberg-Marquardt算法 遥感图像分类

2014

科技信息
山东省技术开发服务中心

科技信息

影响因子:0.15
ISSN:1001-9960
年,卷(期):2014.(13)
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