Random forest and artificial neural network-based tsunami forests classification using data fusion of Sentinel-2 and Airbus Vision-1 satellites: A case study of Garhi Chandan, Pakistan

Random forest and artificial neural network-based tsunami forests classification using data fusion of Sentinel-2 and Airbus Vision-1 satellites: A case study of Garhi Chandan, Pakistan

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Bibliographic Details
Main Authors: Mateen Shabnam, Nuthammachot Narissara, Techato Kuaanan
Format: Article
Language:English
Published: De Gruyter 2024-02-01
Series:Open Geosciences
Subjects:
image classification
multilayer perception artificial neural network
random forest algorithm
image fusion and sharpening
Online Access:https://doi.org/10.1515/geo-2022-0595
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https://doi.org/10.1515/geo-2022-0595

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