The Application of Rough Set Theory in Remote Sensing Image Classification

摘要：

Rough set theory is a relatively new mathematical tool to deal with imprecise, incomplete and inconsistent data. The content of this paper is twofold. First, to decrease computational time, band reduct is performed on multispectral remote sensing image using rough set and information entropy. Second, image classification is obtained after band reduction, Gaussian mixture model and EM algorithm are considered. The algorithm designed in this paper can make bands reduction and multispectral remote sensing image classification unsupervised. Experimental results show that the proposed method did have effective and valid performance.

作者: Zheng Nan Li Haiyu Zhou Mai Yu

作者单位: Aviation University of Air Force

会议类型: 国际会议

会议名称: 2010 International Conference on E-Health Networking,Digital Ecosystems and Techonlogies(2010电子健康网络、数字生态系统和技术国际会议 EDT 2010)

会议地点: 深圳

会议语种:英文

页码: 394-397

在线出版日期: 2010-04-17（万方平台首次上网日期，不代表论文的发表时间）