Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing.
Daniela Alessandra ZaidenbergAlessandro SebastianelliDario SpillerBertrand Le SauxSilvia Liberata UlloPublished in: IGARSS (2021)
Keyphrases
- remote sensing
- machine learning
- change detection
- remote sensing images
- image fusion
- multispectral
- image analysis
- remote sensing imagery
- high resolution
- satellite images
- hyperspectral
- remote sensing data
- satellite data
- image processing
- digital image analysis
- automatic image registration
- remotely sensed imagery
- satellite imagery
- remotely sensed
- high spatial resolution
- pattern recognition
- land cover
- remote sensing image processing
- hyperspectral remote sensing
- remotely sensed data
- computer vision
- hyperspectral imaging
- earth observation
- climate change
- data mining
- earth science
- feature selection
- environmental sciences
- multi spectral images
- high resolution satellite images
- remote sensed images
- remotely sensed images
- spectral data
- hyperspectral imagery
- geographical information systems
- multiscale