A detailed comparison of backpropagation neural network and maximum-likelihood classifiers for urban land use classification.
Justin D. PaolaRobert A. SchowengerdtPublished in: IEEE Trans. Geosci. Remote. Sens. (1995)
Keyphrases
- maximum likelihood
- backpropagation neural network
- classification method
- support vector
- decision trees
- classification rate
- class labels
- classification algorithm
- classification models
- training samples
- training set
- feature selection
- supervised classification
- classification accuracy
- feature set
- support vector machine
- classifier combination
- svm classifier
- roc curve
- machine learning
- urban land
- artificial neural networks
- training data
- feature extraction
- support vector machine svm
- receiver operating characteristic
- benchmark datasets
- text classification
- supervised learning
- ensemble classifier
- backpropagation neural networks
- urban growth
- remote sensing
- naive bayes
- feature subset
- fuzzy logic
- feature vectors