Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types.
Edvinas RommelLaura GieseKatharina FrickeFrederik KathöferMaike HeunerTina MölterPaul DeffertMaryam AsgariPaul NätheFilip DzunicGilles RockJens BongartzAndreas BurkartIna QuickUwe SchröderBjörn BaschekPublished in: Remote. Sens. (2022)
Keyphrases
- machine learning
- computer vision
- machine learning methods
- data mining
- pattern recognition
- remote sensing
- decision trees
- real world
- remote sensing data
- land cover
- supervised classification
- natural language processing
- machine learning algorithms
- environmental variables
- inductive learning
- learning systems
- text classification
- image data
- model selection
- computational intelligence
- kernel methods
- high resolution
- ontology mapping
- computer science
- natural language
- reinforcement learning