Use of classification and regression trees (CART) to classify remotely-sensed digital images.
Helio Radke BittencourtRobin T. ClarkePublished in: IGARSS (2003)
Keyphrases
- classification and regression trees
- digital images
- remotely sensed
- change detection
- remote sensing
- credit scoring
- random forests
- multispectral
- remotely sensed images
- infrared
- logistic regression
- discriminant analysis
- satellite images
- hyperspectral
- factor analysis
- decision trees
- neural network
- hyperspectral images
- land cover
- satellite imagery
- regression problems
- geospatial data
- remote sensing images
- linear discriminant analysis
- classification trees
- synthetic aperture radar
- random forest
- data sets
- high resolution
- image data
- multispectral images
- high dimensional
- linear regression
- feature selection
- supervised classification
- data points
- feature extraction
- maximum likelihood
- computer vision
- spatial data