Self-supervised Vision Transformers for Land-cover Segmentation and Classification.
Linus ScheibenreifJoëlle HannaMichael MommertDamian BorthPublished in: CVPR Workshops (2022)
Keyphrases
- land cover
- supervised classification
- land cover classification
- change detection
- remote sensing
- machine learning
- computer vision
- pattern recognition
- remotely sensed data
- multispectral
- remotely sensed
- feature extraction
- text classification
- image segmentation
- satellite images
- remote sensing images
- feature selection
- object oriented
- feature vectors
- data mining
- image classification
- model selection
- multi dimensional
- image processing
- hyperspectral images
- remote sensing data
- image analysis