SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification.
Junyan LinFeng GaoXiaocheng ShiJunyu DongQian DuPublished in: CoRR (2023)
Keyphrases
- remote sensing
- multi source
- remotely sensed data
- image classification
- hyperspectral
- remote sensing data
- hyperspectral imagery
- multi spectral images
- remote sensing imagery
- hyperspectral data
- hyperspectral remote sensing
- multispectral
- data fusion
- hyperspectral images
- change detection
- spectral resolution
- information fusion
- remotely sensed
- land cover
- remote sensing images
- high resolution
- image analysis
- multispectral images
- data integration
- spectral data
- multiple sources
- remotely sensed images
- geographical information systems
- digital image analysis
- image processing
- image fusion
- satellite data
- spectral bands
- satellite images
- satellite imagery
- high spatial resolution
- remote sensed images
- target detection
- feature extraction
- data sources
- earth observation
- image features
- spatial data
- spatial databases
- bit rate
- spatial information
- community detection
- automatic image registration
- artificial intelligence
- information integration
- earth science
- geographic information systems
- video sequences
- high quality