| 基于BP神经网络的湿地遥感分类 |
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| 引用本文： | 王庆光,潘燕芳.基于BP神经网络的湿地遥感分类[J].韶关学院学报,2007,28(3):72-75. |
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| 作者姓名： | 王庆光 潘燕芳 |
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| 作者单位： | 1. 广东水利电力职业技术学院,水利工程系,广东,广州,510635
2. 广东省食品药品职业技术学校,广东,广州,510663 |
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| 摘 要： | 遥感图像分类的实质是通过计算机对图像像元进行数值处理，达到自动识别地物的目的．在对国内外湿地遥感分类研究的基础上，用BP神经网络方法对湿地遥感分类进行了研究，并与最大极然法进行精度比较分析．结果表明：BP神经网络分类法是一种有效的湿地分类技术，能够提高分类精度．
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| 关 键 词： | 遥感 Bp网络 湿地分类 误差矩阵 |
| 文章编号： | 1007-5348（2007）03-0072-04 |
| 修稿时间： | 2006-11-29 |
Study on wetland remote sensing based on BP neural network |
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| WANG Qing-guang,PAN Yan-fang.Study on wetland remote sensing based on BP neural network[J].Journal of Shaoguan University(Social Science Edition),2007,28(3):72-75. |
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| Authors: | WANG Qing-guang PAN Yan-fang |
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| Institution: | 1.Department of Water Resources, Guangdong Technical College of Water Resources and Electric Engineer, Guangzhou 510635, Guangdong, China; 2. Guangdong Food and Drug Vacation School, Guangzhou 510663, Guangdong, China |
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| Abstract: | Classification of Remote Sensing image using computer recognizes objects by data analysis of Remote Sensing image pixels.Based on the world wetland Remote Sensing classification analysis,this paper has applied the ETM Remote Sensing data and assist data,used BP nerve network to study part wetland in Dong ying city.Also this study has compared its accuracy with the maximum likelihood classification's.This indicates that BP Neural Network method is an effective wetland classification method,and it can improve the classification accuracy of Remote Sensing images. |
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| Keywords: | BP neural network wetland classification remote sensing error matrix |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
