CV-CPKAN: Complex-Valued Convolutional Kolmogorov–Arnold Framework for PolSAR Image Classification

Deep learning has significantly advanced PolSAR image processing, with a growing trend of integrating mathematical theories into deep neural networks to enhance their capabilities with regard to complex data. Kolmogorov–Arnold networks (KANs), which leverage nonlinear mappings derived from the Kolmo...

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Библиографические подробности

Главные авторы:	Zuzheng Kuang, Shuxin Liu, Haixia Bi, Lijun He, Fan Li
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2026-01-01
Серии:	Remote Sensing
Предметы:	PolSAR image classification complex-valued deep neural network (CV-DNN) Kolmogorov–Arnold convolution layers convolutional Kolmogorov–Arnold network (convolutional KAN)
Online-ссылка:	https://www.mdpi.com/2072-4292/18/2/330
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