径向基人工神经网络法在土壤盐渍化调查中的应用

收稿日期: 2006-04-26

修回日期: 2006-06-05

刊出日期: 2007-02-28

Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization

Received Date: 26 April 2006

Revised Date: 05 June 2006

Publish Date: 28 February 2007

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。
- 土壤盐渍化 /
- 遥感 /
- 径向基人工神经网络
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.
- soil /
- salinization /