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径向基人工神经网络法在土壤盐渍化调查中的应用
引用本文:曹晓娟,陈明,冯鑫,李炳华.径向基人工神经网络法在土壤盐渍化调查中的应用[J].岩矿测试,2007,26(1):33-35.
作者姓名:曹晓娟  陈明  冯鑫  李炳华
作者单位:1. 国家地质实验测试中心,北京,100037
2. 天津市地质调查研究院,天津,300191
3. 中国地质大学,北京,100083
摘    要:土壤盐渍化是一个世界性的生态问题,同时也是资源开发和利用问题。对于盐渍化土壤的调查是合理利用土壤的前提条件。文章应用径向基(RBF)人工神经网络,结合多源遥感影像对北方某地区耕地土壤盐渍化状况进行调查研究,取得了满意的效果。

关 键 词:土壤盐渍化  遥感  径向基人工神经网络
文章编号:0254-5357(2007)01-0033-03
收稿时间:2006/4/26 0:00:00
修稿时间:2006-04-262006-06-05

Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization
CAO Xiao-juan,CHEN Ming,FENG Xin,LI Bing-hua.Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization[J].Rock and Mineral Analysis,2007,26(1):33-35.
Authors:CAO Xiao-juan  CHEN Ming  FENG Xin  LI Bing-hua
Institution:1. National Research Center for Geoanalysis, Beijing 100037, China; 2. Tianjin Geological Survey, Tianjin 300191, China; 3. China University of Geosciences, Beijing 100083, China
Abstract:Soil salinization is not only an ecological problem but also a matter concerning resource development and utilization. The investigation of soil salinization is the precondition to make good use of soil. Using radial base function (RBF) artificial neural network and multi-source remote sensing imagery, the status of soil salinization in an area of north china is studied with satisfactory results.
Keywords:soil salinization  remote sensing  radial base function artificial neural network
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