节点文献
径向基人工神经网络法在土壤盐渍化调查中的应用
Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization
【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。
【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.
【关键词】 土壤盐渍化;
遥感;
径向基人工神经网络;
【Key words】 soil salinization; remote sensing; radial base function artificial neural network;
【Key words】 soil salinization; remote sensing; radial base function artificial neural network;
【基金】 国际科技合作重点基金资助项目(2005DFA91140)
- 【文献出处】 岩矿测试 ,Rock and Mineral Analysis , 编辑部邮箱 ,2007年01期
- 【分类号】S156.4
- 【被引频次】6
- 【下载频次】178