Litcius/Paper detail

Per-pixel land cover accuracy prediction: A random forest-based method with limited reference sample data

Hamid Ebrahimy, Babak Mirbagheri, Ali Akbar Matkan, Mohsen Azadbakht

2020ISPRS Journal of Photogrammetry and Remote Sensing58 citationsDOI

Topics & Concepts

Random forestLand coverPixelSample (material)Receiver operating characteristicComputer scienceSensitivity (control systems)Remote sensingCover (algebra)Data miningPattern recognition (psychology)Predictive valueArtificial intelligenceStatisticsLand useMathematicsGeographyMachine learningMedicineChemistryEngineeringCivil engineeringMechanical engineeringInternal medicineChromatographyElectronic engineeringRemote Sensing in AgricultureRemote-Sensing Image ClassificationAdvanced Image Fusion Techniques
Per-pixel land cover accuracy prediction: A random forest-based method with limited reference sample data | Litcius