imageseg: An R package for deep learning‐based image segmentation

imageseg: An R package for deep learning‐based image segmentation

Abstract Convolutional neural networks (CNNs) and deep learning are powerful and robust tools for ecological applications, and are particularly suited for image data. Image segmentation (the classification of all pixels in images) is one such application and can, for example, be used to assess fores...

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Bibliographic Details
Main Authors: Jürgen Niedballa, Jan Axtner, Timm Fabian Döbert, Andrew Tilker, An Nguyen, Seth T. Wong, Christian Fiderer, Marco Heurich, Andreas Wilting
Format: Article
Language:English
Published: Wiley 2022-11-01
Series:Methods in Ecology and Evolution
Subjects:
canopy density
canopy hemispherical photography
computer vision
convolutional neural network
forest monitoring
machine learning
Online Access:https://doi.org/10.1111/2041-210X.13984
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https://doi.org/10.1111/2041-210X.13984

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