Using U-Net-Like Deep Convolutional Neural Networks for Precise Tree Recognition in Very High Resolution RGB (Red, Green, Blue) Satellite Images

Using U-Net-Like Deep Convolutional Neural Networks for Precise Tree Recognition in Very High Resolution RGB (Red, Green, Blue) Satellite Images

Very high resolution satellite imageries provide an excellent foundation for precise mapping of plant communities and even single plants. We aim to perform individual tree recognition on the basis of very high resolution RGB (red, green, blue) satellite images using deep learning approaches for nort...

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Bibliographic Details
Main Authors: Kirill A. Korznikov, Dmitry E. Kislov, Jan Altman, Jiří Doležal, Anna S. Vozmishcheva, Pavel V. Krestov
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Forests
Subjects:
tree recognition
machine learning
convolutional neural network
Online Access:https://www.mdpi.com/1999-4907/12/1/66

Internet

https://www.mdpi.com/1999-4907/12/1/66

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