辅以纹理特征的遥感影像神经网络分类 The Neural Network Classification of Remote Sensing Image Supplemented by Texture Characteristic期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

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辅以纹理特征的遥感影像神经网络分类

引用本文：	裴亮,谭阳.辅以纹理特征的遥感影像神经网络分类[J].测绘与空间地理信息,2008,31(4).

作者姓名：	裴亮谭阳

作者单位：	辽宁工程技术大学,测绘与地理科学学院,辽宁,阜新,123000

摘要：	将由变差函数提取出的纹理信息与光谱信息相结合,运用神经网络方法进行分类和地物识别,并与最大似然法的分类结果进行对比分析,结果表明该方法明显提高了遥感影像的分类精度.
关键词：	遥感影像纹理变差函数 BP神经网络
The Neural Network Classification of Remote Sensing Image Supplemented by Texture Characteristic

PEI Liang,TAN Yang.The Neural Network Classification of Remote Sensing Image Supplemented by Texture Characteristic[J].Geomatics & Spatial Information Technology,2008,31(4).

Authors:	PEI Liang TAN Yang

Abstract:	The study adopts the BP neural network method to classify and recognize the features combining the textural information extracted by variogram and spectral information.Then it compares and analyzes the classification results by maximum likehood method.The analysis result shows that this method can improve the classification precision.

Keywords:	remote sensing image texture variogram BP neural network
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