Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer.
Gabriele CavallaroDennis WillschMadita WillschKristel MichielsenMorris RiedelPublished in: IGARSS (2020)
Keyphrases
- remote sensing
- image classification
- learning machines
- support vector
- remotely sensed data
- change detection
- multispectral
- remote sensing images
- image processing
- remote sensing imagery
- high resolution
- remote sensing data
- satellite data
- image features
- image fusion
- hyperspectral
- high spatial resolution
- image analysis
- kernel function
- digital image analysis
- satellite images
- multi spectral images
- hyperspectral remote sensing
- remotely sensed
- remotely sensed images
- support vector machine
- earth science
- satellite imagery
- automatic image registration
- remote sensed images
- hyperspectral images
- feature extraction
- land cover
- hyperspectral imaging
- feature selection
- hyperspectral imagery
- environmental sciences
- earth observation
- neural network
- object recognition
- weather prediction
- land cover classification
- remote sensing image processing
- infrared
- digital images
- remotely sensed imagery
- data streams
- pattern recognition
- geographical information systems