An Unsupervised Change Detection Technique Based on a Super-Resolution Convolutional Autoencoder.
Luca BergamascoLuca MartinattiFrancesca BovoloLorenzo BruzzonePublished in: IGARSS (2021)
Keyphrases
- super resolution
- restricted boltzmann machine
- low resolution
- high resolution
- image reconstruction
- deep learning
- image restoration
- low resolution images
- high quality
- motion estimation
- single image super resolution
- super resolution reconstruction
- multi frame
- motion blur
- image resolution
- adaptive regularization
- video super resolution
- sparse coding
- semi supervised
- change detection
- super resolved
- depth map
- remote sensing images
- light field
- high resolution images
- resolution enhancement
- image super resolution
- single frame
- higher resolution
- natural images
- data sets
- unsupervised learning
- remote sensing
- point correspondences
- machine learning