Toward More Adaptive Fusion: Sample- and Region-Aware Dynamic Fusion Network for Full- and Missing-Modalities Land Cover Classification

In recent years, research on land cover classification (LCC) utilizing optical (OPT) and synthetic aperture radar (SAR) images under full- and missing-modalities scenarios has garnered considerable attention. Nevertheless, existing methods face challenges in sufficiently fusing multimodal features a...

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Autors principals:	Haodi Zhang, Kuiliang Gao, Yongqi Sun, Xuefeng Cao, Wenyue Guo, Weiqi Lian, Anzhu Yu
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Deep learning (DL) feature generation land cover classification (LCC) missing-modality multimodal semantic segmentation optical (OPT) images
Accés en línia:	https://ieeexplore.ieee.org/document/11395958/
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