Influence of Sample Size in Land Cover Classification Accuracy Using Random Forest and Sentinel-2 Data in Portugal.
Daniel MoraesPedro BenevidesHugo CostaFrancisco D. MoreiraMario CaetanoPublished in: IGARSS (2021)
Keyphrases
- sample size
- random forest
- classification accuracy
- data sets
- image data
- training data
- high dimensional data
- data structure
- data analysis
- feature set
- decision trees
- land cover
- remote sensing
- prediction accuracy
- change detection
- remote sensing images
- data points
- model selection
- worst case
- np hard
- image analysis
- pairwise
- pattern recognition
- support vector
- image processing
- machine learning