Open AccessEffectiveness of machine learning methods for water segmentation with ROI as the label: A case study of the Tuul River in Mongolia
Author(s) -
Kai Li,
Juanle Wang,
Jinyi Yao
Publication year - 2021
Publication title -
international journal of applied earth observation and geoinformation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.623
H-Index - 98
eISSN - 1872-826X
pISSN - 1569-8432
DOI - 10.1016/j.jag.2021.102497
Subject(s) - pixel , artificial intelligence , computer science , convolutional neural network , region of interest , remote sensing , segmentation , computer vision , pattern recognition (psychology) , geography
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