FFCA-UNet: Feature Fusion and Cross-Attention Mechanism for Remote Sensing Image Semantic Segmentation

High-resolution remote sensing (RS) image segmentation remains challenging due to large-scale variations, the presence of small and sparsely distributed objects, and the high visual similarity between land-cover categories. In this article, we propose FFCA-UNet, a hybrid convolutional neural network...

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Manylion Llyfryddiaeth

Prif Awduron:	Libin Chen, Zihan Li, Xiongwu Xiao, Mohamed Mosaad Ali Mahmoud Elisy, Weiwei Wu, Deren Li
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	IEEE 2026-01-01
Cyfres:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Pynciau:	Global context remote sensing (RS) self-attention mechanism semantic segmentation
Mynediad Ar-lein:	https://ieeexplore.ieee.org/document/11319429/
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!