Cloud detection using sentinel 2 imageries: a comparison of XGBoost, RF, SVM, and CNN algorithms
Author:
Affiliation:
1. Computer Engineering Department, National Institute of Technology, Kurukshetra, India
2. Civil Engineering Department, National Institute of Technology, Kurukshetra, India
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2146211
Reference55 articles.
1. Retrieval of Cloud Cover Parameters from Multispectral Satellite Images
2. Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure
3. Cloud Detection for High-Resolution Satellite Imagery Using Machine Learning and Multi-Feature Fusion
4. A training algorithm for optimal margin classifiers
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