Hyperspectral Image Superresolution via Subspace-Based Deep Prior Regularization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3249202
Abstract: Hyperspectral imaging is able to provide a finer delivery of various material properties than conventional imaging systems. Yet in reality, an optical system can only generate data with high spatial resolution but low spectral one,… read more here.
Keywords: prior regularization; deep prior; subspace based; based deep ... See more keywords
Deep Prior-Based Unsupervised Reconstruction of Irregularly Sampled Seismic Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3044455
Abstract: Irregularity and coarse spatial sampling of seismic data strongly affect the performances of processing and imaging algorithms. Therefore, interpolation is a usual preprocessing step in most of the processing workflows. In this work, we propose… read more here.
Keywords: deep prior; prior based; based unsupervised; reconstruction irregularly ... See more keywords
Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3078559
Abstract: Hyperspectral image (HSI) super-resolution is commonly used to overcome the hardware limitations of existing hyperspectral imaging systems on spatial resolution. It fuses a low-resolution (LR) HSI and a high-resolution (HR) conventional image of the same… read more here.
Keywords: resolution; regularization parameter; hyperspectral image; super resolution ... See more keywords