Mitigating Spatial and Spectral Differences for Change Detection Using Super-Resolution and Unsupervised Learning.
Jonathan PrexlSudipan SahaXiao Xiang ZhuPublished in: IGARSS (2021)
Keyphrases
- change detection
- super resolution
- unsupervised learning
- high resolution
- low resolution
- remote sensing
- remote sensing images
- image reconstruction
- data streams
- hyperspectral imagery
- hyperspectral
- low resolution images
- single image
- high quality
- spatial information
- remote sensing imagery
- satellite images
- motion estimation
- motion blur
- super resolution reconstruction
- supervised learning
- image registration
- satellite imagery
- depth map
- image super resolution
- semi supervised
- high resolution images
- dimensionality reduction
- space time
- multispectral images
- hyperspectral images
- combining information from multiple
- model selection
- spatio temporal
- expectation maximization
- multiscale
- three dimensional
- image processing
- feature selection