Classification for Polsar image based on hölder divergences
Author:
Affiliation:
1. School of Electronic Information, Wuhan UniversityWuhan 430072People's Republic of China
2. College of Information Engineering, Inner Mongolia University of TechnologyHohhot 101051People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
General Engineering,Energy Engineering and Power Technology,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.0635
Reference9 articles.
1. Analytic expressions for stochastic distances between relaxed Complex wishart distributions;Frery A.C.;IEEE Trans. Geosci. Remote Sens.,2014
2. Classification of multi‐look polarimetric SAR imagery based on complex wishart distribution;Lee J.S.;Int. J. Remote Sens.,1994
3. A test statistic in the complex wishart distributions and its application to change detection in polarimetric SAR data;Conradsen K.;IEEE Trans. Geosci. Remote Sens.,2003
4. Contrast definition for optical coherent polarimetric images.;Goudail F.;IEEE Trans. Pattern Anal. Mach. Intell.,2004
5. A new coherent similarity measure for temporal multichannel scene characterization;Erten E.;IEEE Trans. Geosci. Remote Sens.,2012
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