Postprocessing for Fine Classification of Crops in UAV Hyperspectral Imagery

Unmanned aerial vehicle (UAV) hyperspectral imagery has become a vital tool for crop monitoring, delivering rich spatial information and detailed spectral properties of crops. To accurately identify the crops in UAV hyperspectral imagery, deep learning methods have been adopted to extract spectral-s...

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Detalhes bibliográficos

Principais autores:	Qikai Lu, Yanyan Tian, Pei Sun, Shaohua Liu, Lifei Wei
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
Colecção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Classification postprocessing crop classification filtering Markov random field (MRF) segmentation-based voting unmanned aerial vehicle (UAV) hyperspectral imagery
Acesso em linha:	https://ieeexplore.ieee.org/document/11264435/
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