Identifying plant species in kettle holes using UAV images and deep learning techniques

Abstract The use of uncrewed aerial vehicle to map the environment increased significantly in the last decade enabling a finer assessment of the land cover. However, creating accurate maps of the environment is still a complex and costly task. Deep learning (DL) is a new generation of artificial neu...

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Bibliographic Details

Published in:	Remote Sensing in Ecology and Conservation
Main Authors:	José Augusto Correa Martins, José Marcato Junior, Marlene Pätzig, Diego André Sant'Ana, Hemerson Pistori, Veraldo Liesenberg, Anette Eltner
Format:	Article
Language:	English
Published:	Wiley 2023-02-01
Subjects:	Deep learning image segmentation plant species segmentation superpixels uncrewed aerial vehicle wetland
Online Access:	https://doi.org/10.1002/rse2.291