Vegetation Detection Using Deep Learning and Conventional Methods

Vegetation Detection Using Deep Learning and Conventional Methods

Land cover classification with the focus on chlorophyll-rich vegetation detection plays an important role in urban growth monitoring and planning, autonomous navigation, drone mapping, biodiversity conservation, etc. Conventional approaches usually apply the normalized difference vegetation index (N...

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Bibliographic Details
Main Authors: Bulent Ayhan, Chiman Kwan, Bence Budavari, Liyun Kwan, Yan Lu, Daniel Perez, Jiang Li, Dimitrios Skarlatos, Marinos Vlachos
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
NDVI
deep learning
machine learning
vegetation
DeepLabV3+, CNN
Online Access:https://www.mdpi.com/2072-4292/12/15/2502

Internet

https://www.mdpi.com/2072-4292/12/15/2502

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