Five classes of urban growth identify model based on the SOFM classification results of remote sensing data.
Qin DaiJianwen MaPublished in: IGARSS (2005)
Keyphrases
- remote sensing data
- land cover
- remotely sensed data
- multispectral
- urban growth
- pattern recognition
- feature space
- remote sensing
- feature extraction
- training set
- spatio temporal
- supervised classification
- unsupervised learning
- remotely sensed
- hyperspectral images
- change detection
- image classification
- supervised learning
- data sets
- geographic information systems
- model selection
- text classification
- decision trees
- feature selection
- cellular automata model
- machine learning