PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks.
Nicolas LattePhilippe LejeunePublished in: Remote. Sens. (2020)
Keyphrases
- super resolution
- multi sensor
- low resolution images
- high resolution images
- high resolution
- low resolution
- image resolution
- data fusion
- imaging process
- higher resolution
- super resolved
- combining information from multiple
- resolution enhancement
- fusion algorithm
- infrared
- image reconstruction
- single frame
- image fusion
- convolutional neural networks
- image super resolution
- fusion method
- degraded images
- spatial information
- input image
- three dimensional
- super resolution reconstruction
- remote sensing
- depth map
- image analysis
- image restoration
- super resolution algorithm
- spatial correlation
- image registration
- image quality
- spatial resolution
- information fusion
- high quality
- high spatial resolution
- image synthesis
- multispectral images
- motion blur
- image features
- motion estimation
- image classification
- computational complexity
- satellite images
- computer graphics
- hyperspectral
- low spatial resolution