RESEARCH FOR CLASSIFICATION OF REMOTE SENSING IMAGES OF SALT FIELDS WATER BASED ON ARTIFICIAL NEURAL NETWORK

摘要：

The development of the satellite remote sensing technology provides effective means of monitoring the resources of salt industry production. Firstly, the principles and common methods of remote sensing image classification are introduced in this article. Then the basic concepts of Artificial Neural Network and some common algorithms are expounded, and the Back Propagation network (BP network) are emphatically introduced. Finally, the article introduces a case when the researchers chose the area of Tianjin Tanggu Saltern as the research field and distinguished salt fields water by BP network.

关键词： Artificial neural network Salt fields water Remote sensing image classification Back propagation network (BP network)

作者: Xian-kun ZHANG Long YI

作者单位: Tianjin University of Science and Technology, Tianjin 300222, China

会议类型: 国际会议

会议名称: 9th International Symposium on Salt(第九届世界盐业大会)

会议地点: 北京

会议语种:英文

页码: 921-927

在线出版日期: 2009-09-05（万方平台首次上网日期，不代表论文的发表时间）