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Author:

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

Indexed by:

EI

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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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Source :

Year: 2006

Page: 553-556

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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