DNN-Based PolSAR Image Classification on Noisy Labels

Deep neural networks (DNNs) appear to be a solution for the classification of polarimetric synthetic aperture radar (PolSAR) data in that they outperform classical supervised classifiers under the condition of sufficient training samples. The design of a classifier is challenging because DNNs can ea...

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Detalhes bibliográficos
Main Authors: Jun Ni, Deliang Xiang, Zhiyuan Lin, Carlos Lopez-Martinez, Wei Hu, Fan Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2022-01-01
Colecção:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:
Deep neural network (DNN)
image classification
noisy label
polarimetric synthetic aperture radar (SAR)
Acesso em linha:https://ieeexplore.ieee.org/document/9762029/
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