A family of divergence-based classifiers for Polarimetric Synthetic Aperture Radar (PolSAR) imagery vector and matrix features
Author:
Affiliation:
1. Departamento De Estatística, Universidade Federal De Pernambuco, Recife, Brazil
2. Departamento De Estatística, Universidade Federal De Paraíba, João Pessoa, Brazil
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1826060
Reference59 articles.
1. Comparison of polarimetric SAR observables in terms of classification performance
2. A New Class of Skew-Normal Distributions
3. Supervised feature-based classification of multi-channel SAR images
4. Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images
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1. Machine learning classification based on k-Nearest Neighbors for PolSAR data;Anais da Academia Brasileira de Ciências;2024
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