Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations.
Aaron E. MaxwellMichael P. StragerTimothy A. WarnerChristopher A. RamezanAlice N. MorganCameron E. PauleyPublished in: Remote. Sens. (2019)
Keyphrases
- random forests
- high spatial resolution
- land cover
- remote sensing
- multispectral
- remote sensing images
- land cover classification
- satellite images
- change detection
- random forest
- satellite imagery
- logistic regression
- remote sensing data
- remote sensing imagery
- machine learning algorithms
- decision trees
- spatial resolution
- image analysis
- ensemble methods
- high resolution
- multispectral images
- hyperspectral
- image fusion
- video camera
- high quality
- image processing
- supervised classification
- urban areas
- hyperspectral images
- data mining
- feature set
- image features
- object recognition
- hyperspectral imagery
- pattern recognition