Scale Object Selection (SOS) through a hierarchical segmentation by a multi-spectral per-pixel classification.
Marco ChiniAlessandro ChianconeSalvatore StramondoPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- multispectral
- hierarchical segmentation
- multi spectral images
- remote sensing images
- remote sensing
- image data
- satellite images
- pattern recognition
- image analysis
- support vector machine
- coarse to fine
- feature extraction
- high quality
- supervised classification
- machine learning
- scale space
- multiple objects
- hyperspectral
- feature space
- feature selection
- computer vision