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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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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PANSHARPENING OF HYPERSPECTRAL IMAGES IN URBAN AREAS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Pansharpening has proven to be a valuable method for resolution enhancement of multi-band images when spatially high-resolving panchromatic images are available in addition. In principle, pansharpening can beneficially be applied to hyperspectral images
C. Chisense +3 more
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Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Hyperspectral (HS) pansharpening aims at fusing a low-resolution HS (LRHS) image with a panchromatic image to obtain a full-resolution HS image. Most of the existing HS pansharpening approaches are usually based on traditional multispectral pansharpening
Lin He +5 more
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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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FIAN: A frequency information-adaptive network for spatial-frequency domain pansharpening. [PDF]
PLoS ONEPansharpening aims to combine the spatial information from high-resolution panchromatic (PAN) images with the spectral information from low-resolution multispectral (LRMS) images generating high-resolution multispectral (HRMS) images. While Convolutional
Yang Liu, Wei Wang, Weihe Li
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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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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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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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