Collaborative segmentation and classification for remote sensing image analysis.
Andres Troya-GalvisPierre GançarskiLaure Berti-ÉquillePublished in: ICPR (2016)
Keyphrases
- remote sensing
- image analysis
- remotely sensed
- pattern recognition
- multispectral
- change detection
- multi spectral images
- remote sensed images
- hyperspectral
- medical imaging
- remote sensing images
- hyperspectral images
- remote sensing imagery
- digital image analysis
- satellite images
- land cover classification
- hyperspectral data
- pixel classification
- remotely sensed data
- high spatial resolution
- remote sensing data
- pigmented skin lesions
- landsat tm
- image fusion
- image segmentation
- automatic image registration
- multiscale
- satellite imagery
- machine learning
- land cover
- computer vision
- image processing
- remotely sensed images
- feature vectors
- hyperspectral imagery
- high resolution
- image classification
- neural network
- hyperspectral imaging
- deformable models
- supervised classification
- image interpretation
- earth science
- multispectral images
- supervised learning
- image understanding
- wavelet transform
- feature extraction
- visual inspection