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作者:

Yang, Lei (Yang, Lei.) | Zhao, Yong Jun (Zhao, Yong Jun.) | Wang, Zhi Gang (Wang, Zhi Gang.)

收录:

EI

摘要:

Based on the theory of eigen-decomposition of fully polarimetric synthetic aperture radar (SAR) and scatter criterion clustering method, an unsupervised iteration classification method is proposed. It is simple, flexible and with high precision. Several schemes of the iteration classification method are given in this paper. The characteristic of each scheme is carefully analyzed according to the properties of eigen-decomposition and scatter criterion, and each scheme holds its own merit. Experiments are done on SIR-C/X-SAR data near Tien Mountains and perfect classification results are obtained. More importantly, this method is robust and has high adaptability.

关键词:

Cluster analysis Image classification Iterative methods Polarimeters Radar imaging Synthetic aperture radar

作者机构:

  • [ 1 ] [Yang, Lei]Institute of Information Engineering, Information Engineering University, Zhengzhou, China
  • [ 2 ] [Zhao, Yong Jun]Department of Electronic Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Wang, Zhi Gang]Institute of Information Engineering, Information Engineering University, Zhengzhou, China

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年份: 2006

页码: 553-556

语种: 英文

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