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