Transferring RGB-Pretrained CNNs to Multispectral UAV Imagery for Salt Marsh Vegetation Classification

Accurate classification of salt marsh vegetation is crucial for coastal wetland monitoring, but fine-grained species discrimination remains difficult, particularly when only limited training data are available for deep learning approaches. To address this challenge, this paper presents a transfer le...

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Bibliografiske detaljer

Principais autores:	Sadiq Olayiwola Macaulay, Eleonora Maset, Francesco Boscutti, Paolo Cingano, Francesco Trevisan, Giacomo Trotta, Marco Vuerich, Andrea Fusiello
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2026-02-01
Serier:	Remote Sensing
Fag:	salt marsh vegetation classification multispectral UAV imagery vegetation indices convolutional neural networks transfer learning
Online adgang:	https://www.mdpi.com/2072-4292/18/4/655
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