HSS-KAMNet: A Hybrid Spectral–Spatial Kolmogorov–Arnold Mamba Network for Residential Land Cover Identification on RS Imagery

Accurate identification of residential areas from remote sensing (RS) imagery plays a pivotal role in urban planning, infrastructure development, and environmental monitoring. Existing convolutional neural network (CNN) and transformer-based models have demonstrated strong performance on the EuroSAT...

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Detalhes bibliográficos

Principais autores:	Sampurna Roy, Ayan Sar, Anurag Kaushish, Tanupriya Choudhury, Jung-Sup Um, Mohammad Israr, Sachi Nandan Mohanty, Ajith Abraham
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Cross-modal fusion EuroSAT Kolmogorov–Arnold networks (KANs) remote sensing (RS) imagery residential land cover classification spectral–spatial attention
Acesso em linha:	https://ieeexplore.ieee.org/document/11205284/
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