Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data

Continuous monitoring of water quality parameters (WQPs) is crucial due to the global degradation of water quality, primarily caused by climate change and population growth. Typically, machine learning (ML) models are employed to retrieve WQPs, but they require a large amount of training samples to...

詳細記述

書誌詳細

主要な著者:	Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Ali Mehran, Mohsen Jafari, Amir Masoud Chegoonian
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2024-01-01
シリーズ:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主題:	Fuzzy similarity analysis (FSA) google earth engine machine learning (ML) remote sensing (RS) water quality
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10430087/
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!