SFANet: A Ground Object Spectral Feature Awareness Network for Multimodal Remote Sensing Image Semantic Segmentation

The semantic segmentation of remote sensing images is vital for accurate surface monitoring and environmental assessment. Multimodal remote sensing images (RSIs) provide a more comprehensive dimension of information, enabling faster and more scientific decision-making. However, existing methods prim...

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Autori principali:	Yizhou Lan, Daoyuan Zheng, Yingjun Zheng, Feizhou Zhang, Zhuodong Xu, Ke Shang, Zeyu Wan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-05-01
Serie:	Remote Sensing
Soggetti:	multimodal remote sensing deep learning feature fusion spectral feature
Accesso online:	https://www.mdpi.com/2072-4292/17/10/1797
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