Multi-temporal Satellite Images Change Detection Algorithm Based on NSCT

被引：5

作者：

Cui, Wei ^{[1
]}

Jia, Zhenhong ^{[1
]}

Qin, Xizhong ^{[1
]}

Yang, Jie ^{[2
]}

Hu, Yingjie ^{[3
]}

机构：

[1] Xinjiang Univ, Coll Informat Sci & Engn, Urumqi 830046, Peoples R China

[2] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China

[3] Auckland Univ Technol, Knowledge Engn & Discovery Res Inst, Auckland 1020, New Zealand

来源：

INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING 2011 | 2011年 / 24卷

关键词：

NSCT; k-means clustering; multi-temporal satellite images; change detection; NONSUBSAMPLED CONTOURLET TRANSFORM;

D O I：

10.1016/j.proeng.2011.11.2636

中图分类号：

T [工业技术];

学科分类号：

08 ;

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 k-means 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. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICAE2011.

引用

页码：252 / 256

页数：5

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