Classification for Polsar image based on hölder divergences

Classification for Polsar image based on hölder divergences

(Dis)similarity measures play an important role in the interpretation of polarimetric synthetic aperture radar (PolSAR) images. Here, the authors introduce a kind of similarity measures for PolSAR images based on the concepts of Hölder pseudo-divergence and Hölder divergence. Authors’ similarity mea...

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Bibliographic Details
Main Authors: Ting Pan, Dong Peng, Xiangli Yang, Pingping Huang, Wen Yang
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
image classification
radar polarimetry
radar imaging
covariance matrices
polarimetric synthetic aperture radar image classification
hölder pseudodivergence
bhattahcharyya distances
bartlett distances
chernoff distance
complex wishart distribution
supervised polsar image classification
unsupervised polsar image classification
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0635

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0635

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