[HTML][HTML] Deep learning in multimodal remote sensing data fusion: A comprehensive review
With the extremely rapid advances in remote sensing (RS) technology, a great quantity of
Earth observation (EO) data featuring considerable and complicated heterogeneity are …
Earth observation (EO) data featuring considerable and complicated heterogeneity are …
Hyperspectral image super-resolution meets deep learning: A survey and perspective
Hyperspectral image super-resolution, which refers to reconstructing the high-resolution
hyperspectral image from the input low-resolution observation, aims to improve the spatial …
hyperspectral image from the input low-resolution observation, aims to improve the spatial …
X-shaped interactive autoencoders with cross-modality mutual learning for unsupervised hyperspectral image super-resolution
Hyperspectral image super-resolution (HSI-SR) can compensate for the incompleteness of
single-sensor imaging and provide desirable products with both high spatial and spectral …
single-sensor imaging and provide desirable products with both high spatial and spectral …
Unsupervised deep tensor network for hyperspectral–multispectral image fusion
Fusing low-resolution (LR) hyperspectral images (HSIs) with high-resolution (HR)
multispectral images (MSIs) is a significant technology to enhance the resolution of HSIs …
multispectral images (MSIs) is a significant technology to enhance the resolution of HSIs …
Hyperspectral image super-resolution network based on cross-scale nonlocal attention
S Li, Y Tian, C Wang, H Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hyperspectral image (HSI) super-resolution generally means the fusion of low-spatial-
resolution HSI (LRHSI) and high-spatial-resolution multispectral/panchromatic image …
resolution HSI (LRHSI) and high-spatial-resolution multispectral/panchromatic image …
MGDIN: Detail injection network for HSI and MSI fusion based on multiscale and global contextual features
C Zhu, L Gong, Y Zhang, S Chen, L Gao… - International Journal of …, 2023 - Taylor & Francis
Hyperspectral remote sensing images (HSI) are characterized as rich spectral information
with low spatial resolution, and a cost-effective way for the spatial information supplement is …
with low spatial resolution, and a cost-effective way for the spatial information supplement is …
Model-guided deep unfolded fusion network with nonlocal spatial-spectral priors for hyperspectral image super-resolution
A Khader, J Yang, L Xiao - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
Due to the physical boundaries, fusing low spatial resolution hyperspectral (LrHSI) with high
spatial resolution multispectral (HrMSI) images is a hot and promising area for obtaining …
spatial resolution multispectral (HrMSI) images is a hot and promising area for obtaining …
Multispectral and hyperspectral image fusion based on low-rank unfolding network
Recently, deep unfolding networks (DUNs) have been applied to the fusion of low spatial
resolution hyperspectral (LR HS) and high spatial resolution multispectral (HR MS) images …
resolution hyperspectral (LR HS) and high spatial resolution multispectral (HR MS) images …
Crossed Dual-Branch U-Net for Hyperspectral Image Super-Resolution
Hyperspectral images have gained great achievements in many fields, but their low spatial
resolution limits the effectiveness in applications. Hyperspectral image super-resolution has …
resolution limits the effectiveness in applications. Hyperspectral image super-resolution has …
Spatial-spectral unfolding network with mutual guidance for multispectral and hyperspectral image fusion
Fusing low spatial resolution hyperspectral (LR HS) and high spatial resolution multispectral
(HR MS) images from different modalities aim to obtain high spatial resolution hyperspectral …
(HR MS) images from different modalities aim to obtain high spatial resolution hyperspectral …