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A high-resolution machine learning and multi-source remote sensing approach for estimating net primary productivity in campus green spaces. [PDF]

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Sung CH, Wijaya C, Asri AK, Chern YR, Teo TA, Liu WY, Lee CH, Hsu YL, Wu CD.   +8 more
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SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion

IEEE Transactions on Geoscience and Remote Sensing, 2021
The fusion of a low-spatial-resolution hyperspectral image (HSI) (LR-HSI) with its corresponding high-spatial-resolution multispectral image (MSI) (HR-MSI) to reconstruct a high-spatial-resolution HSI (HR-HSI) has been a significant subject in recent ...
Xueting Zhang, Wei Huang, Qi Wang, Xuelong Li   +3 more
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HMF-Former: Spatio-Spectral Transformer for Hyperspectral and Multispectral Image Fusion

IEEE Geoscience and Remote Sensing Letters, 2023
The key to hyperspectral image (HSI) and multispectral image (MSI) fusion is to take advantage of the properties of interspectra self-similarities of HSIs and spatial correlations of MSIs. However, leading convolutional neural network (CNN)-based methods
Tengfei You, Chanyue Wu, Yunpeng Bai, Dong Wang, Huibin Ge, Ying Li   +5 more
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PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion

IEEE Transactions on Geoscience and Remote Sensing, 2023
A Transformer has received a lot of attention in computer vision. Because of global self-attention, the computational complexity of Transformer is quadratic with the number of tokens, leading to limitations for practical applications.
Shangqi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, D. Hong, G. Vivone   +5 more
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Multispectral Image Pan-Sharpening Guided by Component Substitution Model

IEEE Transactions on Geoscience and Remote Sensing, 2023
Multispectral image pan-sharpening aims to increase the spatial details of multispectral images by fusing multispectral and panchromatic (PAN) images.
Huiling Gao, Shutao Li, Jun Li, Renwei Dian   +3 more
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Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition

IEEE Transactions on Geoscience and Remote Sensing, 2021
Fusing a pair of low-spatial-resolution hyperspectral image (LR-HSI) and high-spatial-resolution multispectral image (HR-MSI) has been regarded as an effective and economical strategy to achieve HR-HSI, which is essential to many applications.
Yong Chen, Jinshan Zeng, Wei He, Xile Zhao, Tingzhu Huang   +4 more
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Variational Regularization Network With Attentive Deep Prior for Hyperspectral–Multispectral Image Fusion

IEEE Transactions on Geoscience and Remote Sensing, 2021
Hyperspectral–multispectral image (HSI-MSI) fusion relies on a robust degradation model and data prior, where the former describes the degeneration of HSI in the spectral and spatial domains, and the latter reveals the latent statistics of the expected ...
Jingxiang Yang, Liang Xiao, Yongqiang Zhao, J. Chan   +3 more
semanticscholar   +1 more source

Adaptive and Progressive Multispectral Image Demosaicking

IEEE Transactions on Computational Imaging, 2022
Common consumer RGB cameras use a single image sensor to capture RGB color images with a color filter array (CFA) placed in front of the image sensor. This system captures particularly one color sample ($R$, $G$, or $B$) at each pixel location.
Medha Gupta, Vishwas Rathi, Puneet Goyal
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