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...

Ausführliche Beschreibung

Bibliografische Detailangaben

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