Change Detection of Multi-temporal Remote Sensing Data Using Wavelet-based Fusion and K-Means Clustering

摘要：

In this paper, the problem of change detection from Multi-temporal remote sensing images is addressed. To that end, we present a measure of the observed change by combining the two related tasks. In their preliminary design stage, a method constructs difference image by wavelet-based fusing the results of differencing operation and log-ratio operation. Then, by taking into account the spatial-Neighborhood information, a change detection algorithm based kmeans clustering is developed to obtain quantitative detection results. The experiments bring out the efficiency of the proposed technique to interpret each change.

关键词： change detection remote sensing wavelet-based fusion k-means clustering

作者: Yingchun Tang Yali Qin Hao Wen Gang Wu

作者单位: Institute of Fiber-optic Communication and Information Engineering,College of Information Engineering, Zhejiang University of Technology Hangzhou 310023, China

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 354-357

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）