Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms.
Usman AliTravis J. EsauAitazaz Ahsan FarooqueQamar U. ZamanFarhat AbbasMathieu F. BilodeauPublished in: ISPRS Int. J. Geo Inf. (2022)
Keyphrases
- machine learning algorithms
- land cover
- ground truth data
- ground truth
- remote sensing
- multispectral
- benchmark data sets
- change detection
- land cover classification
- satellite images
- learning algorithm
- remote sensing images
- quantitative evaluation
- remote sensing data
- geographic information systems
- supervised classification
- decision trees
- machine learning
- machine learning methods
- urban growth
- high quality
- machine learning models
- active appearance models
- data mining
- image data
- data sets
- urban areas
- statistical model
- spatial data
- climate change
- supervised learning
- standard machine learning algorithms