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...

詳細記述

書誌詳細

主要な著者:	Zuzheng Kuang, Shuxin Liu, Haixia Bi, Lijun He, Fan Li
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-01-01
シリーズ:	Remote Sensing
主題:	PolSAR image classification complex-valued deep neural network (CV-DNN) Kolmogorov–Arnold convolution layers convolutional Kolmogorov–Arnold network (convolutional KAN)
オンライン･アクセス:	https://www.mdpi.com/2072-4292/18/2/330
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