Urban land cover classification with missing data using deep convolutional neural networks.
Michael KampffmeyerArnt-Børre SalbergRobert JenssenPublished in: IGARSS (2017)
Keyphrases
- missing data
- convolutional neural networks
- land cover classification
- multispectral
- supervised classification
- remote sensing data
- high spatial resolution
- remote sensing
- land cover
- hyperspectral
- urban areas
- satellite data
- missing values
- remote sensing imagery
- incomplete data
- structure from motion
- motion segmentation
- multiple imputation
- remote sensing images
- low rank
- spatial resolution
- satellite images
- video camera
- databases
- change detection
- database design
- infrared
- bayesian networks
- computer vision