Litcius/Paper detail

Comparing Pan-sharpened Landsat-9 and Sentinel-2 for Land-Use Classification Using Machine Learning Classifiers

Yassine Bouslıhım, Mohamed Hakim Kharrou, Abdelhalim Miftah, Taha Attou, Lhoussaine Bouchaou, Abdelghani Chehbouni

2022Journal of Geovisualization and Spatial Analysis47 citationsDOI

Topics & Concepts

Support vector machineRandom forestArtificial intelligenceComputer scienceClassifier (UML)Machine learningRemote sensingSatellitePattern recognition (psychology)GeographyEngineeringAerospace engineeringRemote-Sensing Image ClassificationRemote Sensing and Land UseGeochemistry and Geologic Mapping
Comparing Pan-sharpened Landsat-9 and Sentinel-2 for Land-Use Classification Using Machine Learning Classifiers | Litcius