Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images.
Marc WielandMassimiliano PittorePublished in: Remote. Sens. (2014)
Keyphrases
- machine learning algorithms
- satellite images
- multispectral
- pattern recognition
- urban areas
- machine learning
- image analysis
- remote sensing
- remote sensing images
- learning algorithm
- benchmark data sets
- decision trees
- machine learning methods
- satellite imagery
- predictive accuracy
- learning problems
- change detection
- image processing
- multi spectral images
- image data
- digital elevation models
- computer vision
- multispectral images
- spatial resolution
- land cover
- hyperspectral
- random forests
- machine learning approaches
- remotely sensed
- spectral bands
- high resolution satellite images
- machine learning models
- statistical machine learning
- satellite data
- learning models
- high spatial resolution
- neural network
- high resolution
- standard machine learning algorithms
- remotely sensed images
- machine learning systems
- hyperspectral imagery
- image registration