A Spectral–Spatial Jointed Spectral Super-Resolution and Its Application to HJ-1A Satellite Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3073501
Abstract: To generate a high-spatial-resolution hyperspectral (HHS) image from a high-spatial-resolution multispectral (HMS) image, both spatial information and spectral information should be considered simultaneously if we want to build a more accurate mapping from HMS to… read more here.
Keywords: resolution; spatial jointed; super resolution; spectral spatial ... See more keywords
Hybrid 2-D–3-D Deep Residual Attentional Network With Structure Tensor Constraints for Spectral Super-Resolution of RGB Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3004934
Abstract: RGB image spectral super-resolution (SSR) is a challenging task due to its serious ill-posedness, which aims at recovering a hyperspectral image (HSI) from a corresponding RGB image. In this article, we propose a novel hybrid… read more here.
Keywords: super resolution; structure; structure tensor; spectral super ... See more keywords
Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3056181
Abstract: Hyperspectral images (HSIs) are crucial for many research works. Spectral super-resolution (SSR) is a method used to obtain high-spatial-resolution (HR) HSIs from HR multispectral images. Traditional SSR methods include model-driven algorithms and deep learning. By… read more here.
Keywords: resolution; super resolution; optimization driven; spectral response ... See more keywords
Spectral Super-Resolution via Model-Guided Cross-Fusion Network.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3238506
Abstract: Spectral super-resolution, which reconstructs a hyperspectral image (HSI) from a single red-green-blue (RGB) image, has acquired more and more attention. Recently, convolution neural networks (CNNs) have achieved promising performance. However, they often fail to simultaneously… read more here.
Keywords: spectral super; imaging model; super resolution; model ... See more keywords