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A Theoretical and Practical Survey of Image Fusion Methods for Multispectral Pansharpening

open access: yesInformation Fusion, 2022
Pansharpening fuses the spatial features of a high-resolution panchromatic (PAN) image with the spectral features of a lower-resolution multispectral (MS) image to generate a spatially enriched MS image.
Oguz Güngör   +2 more
exaly   +2 more sources
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Compressed Hyperspectral Pansharpening

2020 IEEE International Conference on Image Processing (ICIP), 2020
Hyperspectral (HS) imaging based on compressed sensing (CS) is actively studied to capture an HS image in one shot. Although CS can reconstruct an HS image from a much less number of random observations, capturing an HS image of high spatial and spectral resolution (HR-HS image) is still difficult because of current imaging systems.
Saori Takeyama, Shunsuke Ono
openaire   +1 more source

Super-Resolution-Guided Progressive Pansharpening Based on a Deep Convolutional Neural Network

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2021
Pansharpening and super-resolution (SR) methods share the same target to improve the spatial resolution of images. Based on this similarity, we propose and develop a novel pansharpening algorithm that is guided by a deep SR convolutional neural network ...
Bo Huang, Bo Huang, Jiajun Cai
exaly   +2 more sources

Cross Residual Fusion for Pansharpening

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
In this work, a deep learning approach has been developed to carry out optical remote sensing pansharpening by the fusion of high spectral and spatial information from two different sources. In the proposed approach, the combination of multimodal information is achieved at multiple levels.
Meziane Iftene   +3 more
openaire   +2 more sources

A Critical Comparison Among Pansharpening Algorithms

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2015
Pansharpening aims at fusing a multispectral and a panchromatic image, featuring the result of the processing with the spectral resolution of the former and the spatial resolution of the latter. In the last decades, many algorithms addressing this task have been presented in the literature.
Gemine Vivone   +2 more
exaly   +5 more sources

Pansharpening of Mastcam images

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
This paper summarizes a new investigation of applying advanced pansharpening algorithms to enhance the images of the left imager in the Mastcam onboard the Curiosity rover, which landed on Mars in 2012. The various instruments on the rover have already made great contributions in the understanding of Mars.
Chiman Kwan   +4 more
openaire   +1 more source

Pansharpening With Matting Model

IEEE Transactions on Geoscience and Remote Sensing, 2014
Pansharpening aims at creating a fused image of high spatial and spectral resolutions through merging a panchromatic (PAN) image with a multispectral (MS) image. Component substitution is the most widely used pansharpening method. However, most research in this field focuses on improving the existing component substitution-based pansharpening methods ...
Xudong Kang   +2 more
openaire   +2 more sources

Hyperspectral Pansharpening With Guided Filter

IEEE Geoscience and Remote Sensing Letters, 2017
A new hyperspectral (HS) pansharpening method based on guided filter is proposed in this letter. The proposed method, which obtains the spatial detail difference of each band successively, is different from the traditional component substitution method. The detail information of each band is extracted at first.
Jiahui Qu, Yunsong Li 0001, Wenqian Dong
openaire   +2 more sources

Hyperspectral Pansharpening With Deep Priors

IEEE Transactions on Neural Networks and Learning Systems, 2020
Hyperspectral (HS) image can describe subtle differences in the spectral signatures of materials, but it has low spatial resolution limited by the existing technical and budget constraints. In this paper, we propose a promising HS pansharpening method with deep priors (HPDP) to fuse a low-resolution (LR) HS image with a high-resolution (HR ...
Weiying Xie   +4 more
openaire   +2 more sources

Spectral Diversity Enhancement for Pansharpening

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
Pansharpening is to generate a synthetic image with high spatial resolution and high spectral resolution via fusing panchromatic (PAN) and multispectral (MS) images. In most traditional pansharpening methods, the original MS image is firstly interpolated to the same size of PAN image by analytical interpolations.
Liangyu Zhou   +3 more
openaire   +2 more sources

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