A Classification Method Based on Polarimetric Entropy and GEV Mixture Model for Intertidal Area of PolSAR Image

This paper proposes a classification method for the intertidal area using quad-polarimetric synthetic aperture radar data. In this paper, a systematic comparison of four well-known multipolarization features is provided so that appropriate features can be selected based on the characteristics of th...

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發表在:	Leida xuebao
Main Authors:	She Xiaoqiang, Qiu Xiaolan, Lei Bin, Zhang Wei, Lu Xiaojun
格式:	Article
語言:	英语
出版:	China Science Publishing & Media Ltd. (CSPM) 2017-10-01
主題:	Multi-polarization features Generalized Extreme Value (GEV) distribution Finite Mixture Model (FMM) Intertidal area classification Synthetic Aperture Radar (SAR)
在線閱讀:	http://radars.ie.ac.cn/fileup/HTML/R16149.htm