Multi-temporal Satellite Images Change Detection Algorithm Based on NSCT

摘要：

In order to get the change detection image.An unsupervised change detection algorithm for multi-temporal satellite image based on NSCT (non-subsampling contourlet transform) and kmeans clustering is proposed in this paper.For each pixel in the log-ratio image, multi-scale and multi-direction feature vector is extracted by NSCT and the reconstruction of the log-ratio image is obtained.The threshold is produced by using the k-means clustering algorithm and can distinguish between the unchanged and the change region.Finally, the change detection map is achieved.Some satellite images are used to verify the proposed method and the results shows that it has a higher stability and accuracy against Gaussian and speckle noise than traditional algorithms.

关键词： NSCT k-means clustering multi-temporal satellite images change detection

作者: Wei Cui Zhenhong Jia Xizhong Qin Jie Yang Yingjie Hu

作者单位: College of Information Science and Engineering,Xinjiang University,Urumqi 830046,China Institute of Image Processing and Pattern Recognition,Shanghai Jiao Tong University,Shanghai 200240, Knowledge Engineering and Discovery Research Institute,Auckland University of Technology,Auckland 10

会议类型: 国际会议

会议名称: International Conference on Advances in Engineering 2011(2011年工程研究进展国际学术会议 ICAE2011)

会议地点: 南京

会议语种:英文

页码: 252-256

在线出版日期: 2011-12-17（万方平台首次上网日期，不代表论文的发表时间）