Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction.
Peichao LiMichael EbnerPhilip J. NoonanConor C. HorganAnisha BahlSébastien OurselinJonathan ShapeyTom VercauterenPublished in: CoRR (2021)
Keyphrases
- deep learning
- high resolution
- hyperspectral images
- remote sensing
- hyperspectral
- hyperspectral imagery
- color images
- spatial resolution
- spectral resolution
- hyperspectral data
- low resolution
- color filter array
- multispectral
- spectral bands
- high frequency
- super resolution
- image processing
- unsupervised learning
- hyperspectral imaging
- satellite images
- change detection
- multispectral images
- spectral signatures
- color space
- digital camera
- remote sensing images
- high quality
- image reconstruction
- mental models
- color reproduction
- target detection
- denoising
- machine learning
- color information
- weakly supervised
- frequency domain
- image data
- object recognition
- reflectance spectra
- infrared
- supervised learning
- feature vectors
- high dimensional
- multiscale
- training data
- computer vision