Open AccessObject-Based Supervised Machine Learning Regional-Scale Land-Cover Classification Using High Resolution Remotely Sensed Data
Author(s) -
Christopher A. Ramezan
Publication year - 2019
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.33915/etd.3876
Subject(s) - artificial intelligence , land cover , support vector machine , computer science , machine learning , random forest , perceptron , learning vector quantization , pattern recognition (psychology) , artificial neural network , land use , engineering , civil engineering
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