Deep learning detection of types of water-bodies using optical variables and ensembling

Deep learning detection of types of water-bodies using optical variables and ensembling

Water features are one of the most crucial environmental elements for strengthening climate-change adaptation. Remote sensing (RS) technologies driven by artificial intelligence (AI) have emerged as one of the most sought-after approaches for automating water information extraction and indeed. In th...

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Bibliographic Details
Main Authors: Nida Nasir, Afreen Kansal, Omar Alshaltone, Feras Barneih, Abdallah Shanableh, Mohammad Al-Shabi, Ahmed Al Shammaa
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Intelligent Systems with Applications
Subjects:
Stacked modeling
ANOVA
Smote
Classification
Meta learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305323000479

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http://www.sciencedirect.com/science/article/pii/S2667305323000479

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