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Multispectral Image Super-Resolution via RGB Image Fusion and Radiometric Calibration
IEEE Transactions on Image Processing, 2019Multispectral imaging is of wide application for its capability in acquiring the spectral information of scenes. Due to hardware limitation, multispectral imaging device usually cannot achieve high-spatial resolution.
Zhi-Wei Pan, Hui-Liang Shen
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Galileo multispectral imaging of Earth
Journal of Geophysical Research: Planets, 1995Nearly 6000 multispectral images of Earth were acquired by the Galileo spacecraft during its two flybys. The Galileo images offer a unique perspective on our home planet through the spectral capability made possible by four narrowband near‐infrared filters, intended for observations of methane in Jupiter's atmosphere, which are not incorporated in any ...
P, Geissler +5 more
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Reciprocal transformer for hyperspectral and multispectral image fusion
Information Fusion, 2023Qing Ma +3 more
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Multispectral analysis of multimodal images
Acta Oncologica, 2009An increasing number of multimodal images represent a valuable increase in available image information, but at the same time it complicates the extraction of diagnostic information across the images. Multispectral analysis (MSA) has the potential to simplify this problem substantially as unlimited number of images can be combined, and tissue properties
Yngve, Kvinnsland +3 more
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Hyperspectral And Multispectral Image Fusion Based On Deep Attention Network
Workshop on Hyperspectral Image and Signal Processing, 2019Hyperspectral (HS) images have rich spectral information and can provide attribute information. High spatial resolution images, such as multispectral (MS) images and panchromatic (PAN) images, can provide fine geometric features.
Qingjie Yang +3 more
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Wavelet-Based Multispectral Image Restoration
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008In this paper, restoration of multispectral images is performed. The presented procedure is based on an Expectation-Maximization algorithm, which applies iteratively a deconvolution and a denoising step. The deconvolution step is a Landweber iteration step, while in the denoising step wavelet shrinkage is performed. The restoration is improved by using
Duijster, Adrianus Johannes +2 more
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Multispectral imaging of hand eczema
Contact Dermatitis, 2019AbstractBackgroundHand eczema is a disease with large variation in clinical presentation and severity. Scoring systems for quantitative severity assessment exist. However, they are observer‐dependent. An objective quantitative tool for scoring of hand eczema would improve categorization of hand eczema.ObjectiveTo investigate the usefulness of ...
Marianne Hald +6 more
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IEEE Geoscience and Remote Sensing Letters, 2019
Due to the significant nonlinear intensity changes of multispectral images, automatic image feature point matching is a challenging task. This letter addresses the problem and proposes a novel descriptor combining the structure and texture information to
Zhitao Fu +4 more
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Due to the significant nonlinear intensity changes of multispectral images, automatic image feature point matching is a challenging task. This letter addresses the problem and proposes a novel descriptor combining the structure and texture information to
Zhitao Fu +4 more
semanticscholar +1 more source
Hyperspectral and multispectral image fusion techniques for high resolution applications: a review
Earth Science Informatics, 2021Dioline Sara +4 more
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2005
Multispectral images are a particular class of images that require specialized coding algorithms. In multispectral images, the same spatial region is captured multiple times using different imaging modalities. These modalities often consist of measurements at different optical wavelengths (hence the name multispectral), but the same term is sometimes ...
Tretter Daniel +2 more
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Multispectral images are a particular class of images that require specialized coding algorithms. In multispectral images, the same spatial region is captured multiple times using different imaging modalities. These modalities often consist of measurements at different optical wavelengths (hence the name multispectral), but the same term is sometimes ...
Tretter Daniel +2 more
openaire +1 more source