Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances

Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances

Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al. [“Classification of segments in PolSAR imagery by minimum stochastic distances between wishart distributions.” IEEE Journal of...

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Bibliographic Details
Main Authors: Rogério G. Negri, Alejandro C. Frery, Wagner B. Silva, Tatiana S. G. Mendes, Luciano V. Dutra
Format: Article
Language:English
Published: Taylor & Francis Group 2019-06-01
Series:International Journal of Digital Earth
Subjects:
polsar
image classification
stochastic distance
minimum distance classifier
svm
Online Access:http://dx.doi.org/10.1080/17538947.2018.1474958

Internet

http://dx.doi.org/10.1080/17538947.2018.1474958

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