SAR Image Change Detection Based on Multiple Kernel K-Means Clustering With Local-Neighborhood Information.

Lu Jia,Ming Li,Peng Zhang,Yan Wu,Huahui Zhu

IEEE Geoscience and Remote Sensing Letters（2016）

引用 70|浏览97

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摘要

Performance of the k-means clustering algorithm for synthetic aperture radar (SAR) image change detection is usually worsened by the inherent existence of the speckle noise. Therefore, in this letter, an unsupervised multiple kernel k-means clustering algorithm with local-neighborhood information (LIMKKM algorithm) is proposed for SAR image change detection. The LIMKKM algorithm contributes in two...

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关键词

Kernel,Change detection algorithms,Clustering algorithms,Integrated circuits,Synthetic aperture radar,Signal processing algorithms,Feature extraction

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