Application of BP Neural Network in Remote Sensing Image Classification A Case Study of Jinzhou

摘要：

BP (back propagation) neural network can be optimized through methods of sample selection GIS data aided and improving learning algorithm and so on. Experimental result shows that optimized BP neural network is an effective classification method with better self-learning, generalization, adaptive capacity and high classification accuracy.

关键词： BP classification artificial neural network remote sensing LM

作者: Liang Pei Zhaoyang Xu Jiguang Dai

作者单位: College of Geomatics Liaoning Technical University Fuxin, P.R.China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 212-215

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）