SS-MAE: Spatial-Spectral Masked Autoencoder for Multisource Remote Sensing Image Classification.
Junyan LinFeng GaoXiaochen ShiJunyu DongQian DuPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- remote sensing
- remotely sensed data
- multi source
- image classification
- hyperspectral
- remote sensing data
- hyperspectral imagery
- hyperspectral remote sensing
- remote sensing imagery
- multi spectral images
- multispectral
- hyperspectral images
- spectral resolution
- remote sensing images
- change detection
- hyperspectral data
- land cover
- multispectral images
- image processing
- data fusion
- information fusion
- high resolution
- image analysis
- spatial analysis
- remotely sensed
- geographical information systems
- high spatial resolution
- hyperspectral imaging
- satellite imagery
- spectral data
- satellite images
- land cover classification
- image fusion
- satellite data
- multiple sources
- spatial resolution
- remotely sensed images
- data integration
- data sources
- spectral bands
- feature extraction
- automatic image registration
- digital image analysis
- remote sensed images
- image features
- spatial data
- spatial information
- earth science
- earth observation
- spatial databases
- information integration
- community detection
- geographic information systems
- image data
- supervised learning
- target detection
- data mining