Application of Self Organizing Maps to multi-temporal and multi-spectral satellite images: classification and change detection.
Ferdinando GiaccoStefania ColellaLuca PuglieseSilvia ScarpettaPublished in: WIRN (2010)
Keyphrases
- satellite images
- change detection
- self organizing maps
- multispectral
- remotely sensed
- remote sensing
- remote sensing images
- landsat tm
- multi spectral images
- land cover
- satellite imagery
- remotely sensed images
- hyperspectral
- unsupervised learning
- digital elevation models
- data streams
- neural network
- urban areas
- image analysis
- image registration
- hyperspectral images
- feature space
- high spatial resolution
- pattern recognition
- satellite data
- remote sensing imagery
- supervised classification
- high resolution
- remote sensing data
- input data
- image data
- semi supervised
- data sets
- feature vectors
- active learning
- probabilistic model
- hyperspectral data
- image processing
- feature extraction
- machine learning
- spatial resolution
- decision trees
- computer vision