Sensitivity analysis of logistic regression parameterization for land use and land cover probability estimation.
Wim Van DesselAnton J. J. van RompaeyPeter SzilassiPublished in: Int. J. Geogr. Inf. Sci. (2011)
Keyphrases
- probability estimation
- sensitivity analysis
- logistic regression
- land cover
- naive bayes
- decision trees
- classification trees
- change detection
- multispectral
- remote sensing
- remote sensing images
- land cover classification
- satellite images
- urban growth
- geographic information systems
- multi class classification
- classification accuracy
- supervised classification
- random forests
- text classification
- text categorization
- support vector
- feature selection
- loss function
- urban areas
- roc curve
- probability estimates
- random forest
- neural network
- bayesian networks
- image processing
- data sets
- training data
- receiver operating characteristic
- cost sensitive
- high resolution