Deep and Machine Learning Image Classification of Coastal Wetlands Using Unpiloted Aircraft System Multispectral Images and Lidar Datasets

Deep and Machine Learning Image Classification of Coastal Wetlands Using Unpiloted Aircraft System Multispectral Images and Lidar Datasets

The recent developments of new deep learning architectures create opportunities to accurately classify high-resolution unoccupied aerial system (UAS) images of natural coastal systems and mandate continuous evaluation of algorithm performance. We evaluated the performance of the U-Net and DeepLabv3...

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Bibliographic Details
Main Authors: Ali Gonzalez-Perez, Amr Abd-Elrahman, Benjamin Wilkinson, Daniel J. Johnson, Raymond R. Carthy
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
invasive plant species
UAS multispectral imagery
machine learning
coastal wetlands
deep learning
vegetation classification
Online Access:https://www.mdpi.com/2072-4292/14/16/3937

Internet

https://www.mdpi.com/2072-4292/14/16/3937

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