Pansharpening of WorldView-2 Data via Graph Regularized Sparse Coding and Adaptive Coupled Dictionary [PDF]
Sensors, 2021 The spectral mismatch between a multispectral (MS) image and its corresponding panchromatic (PAN) image affects the pansharpening quality, especially for WorldView-2 data.
Wenqing Wang, Han Liu, Guo Xie
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Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors [PDF]
Sensors, 2020 Pansharpening is a technique that fuses a low spatial resolution multispectral image and a high spatial resolution panchromatic one to obtain a multispectral image with the spatial resolution of the latter while preserving the spectral information of the
Fernando Pérez-Bueno +4 more
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Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis [PDF]
Journal of ImagingThe term pansharpening denotes the process by which the geometric resolution of a multiband image is increased by means of a co-registered broadband panchromatic observation of the same scene having greater spatial resolution. Over time, the benchmarking
Luciano Alparone, Andrea Garzelli
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Self-Supervised Multiscale Contrastive and Attention-Guided Gradient Projection Network for Pansharpening. [PDF]
Sensors (Basel)Pansharpening techniques are crucial in remote sensing image processing, with deep learning emerging as the mainstream solution. In this paper, the pansharpening problem is formulated as two optimization subproblems with a solution proposed based on ...
Li Q, Yang X, Li B, Wang J.
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Cross-domain correspondence intensity modulation based on Bayesian-decision for remote sensing image pansharpening. [PDF]
PLoS ONEPansharpening usually improves the resolution of low-resolution multispectral (LRMS) images with spatial information from corresponding high-resolution panchromatic (HRPAN) images to produce high-resolution MS (HRMS) images.
Lei Wu +4 more
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Variational Pansharpening for Hyperspectral Imagery Constrained by Spectral Shape and Gram–Schmidt Transformation [PDF]
Sensors, 2018 Image pansharpening can generate a high-resolution hyperspectral (HS) image by combining a high-resolution panchromatic image and a HS image. In this paper, we propose a variational pansharpening method for HS imagery constrained by spectral shape and ...
Zehua Huang +3 more
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A cross-band transformer on wavelets for pansharpening of satellite imagery
European Journal of Remote SensingPansharpening is the task of fusing panchromatic and low-resolution multi-spectral data to obtain a high-resolution equivalent. In our study, we develop a cross-band transformer (CBT) method for pansharpening, incorporating and adapting successful ...
Nikolaos Ntantis +3 more
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ZSBP: Zero-Shot Semi-Supervised Learning for Blind Pansharpening
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPansharpening aims to generate high-resolution multispectral images (HRMS) by effectively leveraging the complementary information in high-resolution panchromatic images (HRPan) and low-resolution multispectral images (LRMS).
Jialei Xie +5 more
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DiTBN: Detail Injection-Based Two-Branch Network for Pansharpening of Remote Sensing Images
Remote Sensing, 2022 Pansharpening is one of the main research topics in the field of remote sensing image processing. In pansharpening, the spectral information from a low spatial resolution multispectral (LRMS) image and the spatial information from a high spatial ...
Wenqing Wang +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Supervised pansharpening methods require the ground truth, which is generally unavailable. Therefore, the popularity of unsupervised pansharpening methods has increased.
Wenxiu Diao +3 more
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