Brownian Distance Covariance Prototype Refinement for Few-Shot Multitemporal Coastal Wetland Hyperspectral Image Classification

Coastal wetlands are ecologically vital ecosystems that demand accurate and long-term land cover monitoring. The integration of deep learning with hyperspectral imaging enables detailed classification of coastal wetlands by extracting subtle spectral differences among land cover types. However, newl...

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Auteurs principaux:	Ziqi Xin, Zhongwei Li, Chunbo Luo, Mingming Xu, Guangbo Ren, Fangming Guo, Yabin Hu, Qixing Yu
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2026-01-01
Collection:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sujets:	Brownian distance covariance (BDC) cross -domain few-shot learning (CDFSL) hyperspectral image (HSI) multitemporal coastal wetland classification prototype refinement (PR)
Accès en ligne:	https://ieeexplore.ieee.org/document/11386888/
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