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LANDSAT 8 MULTISPECTRAL AND PANSHARPENED IMAGERY PROCESSING ON THE STUDY OF CIVIL ENGINEERING ISSUES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Scientific and professional interests of civil engineering mainly include structures, hydraulics, geotechnical engineering, environment, and transportation issues.
M. A. Lazaridou, A. Ch. Karagianni
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Hyperspectral-Multispectral Image Fusion via Tensor Ring and Subspace Decompositions
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Fusion from a spatially low resolution hyperspectral image (LR-HSI) and a spectrally low resolution multispectral image (MSI) to produce a high spatial-spectral HSI (HR-HSI), known as hyperspectral super resolution, has risen to a preferred topic for ...
Honghui Xu +4 more
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Convolution Filter based Efficient Multispectral Image Demosaicking for Compact MSFAs
VISIGRAPP, 2021 Using the multispectral filter arrays (MSFA) and demosaicking, the low-cost multispectral imaging systems can be developed that are useful in many applications.
Vishwas Rathi, Puneet Goyal
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Evaluating online filtering algorithms to enhance dynamic multispectral optoacoustic tomography
Photoacoustics, 2020 Multispectral optoacoustic tomography (MSOT) is an emerging imaging modality, which is able to capture data at high spatiotemporal resolution using rapid tuning of the excitation laser wavelength. However, owing to the necessity of imaging one wavelength
Devin O’Kelly +2 more
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Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors
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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Multispectral Live‐Cell Imaging [PDF]
Current Protocols in Cell Biology, 2018 AbstractFluorescent proteins and vital dyes are invaluable tools for studying dynamic processes within living cells. However, the ability to distinguish more than a few different fluorescent reporters in a single sample is limited by the spectral overlap of available fluorophores.
Sarah, Cohen +2 more
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Deep-Learning-Based Multispectral Satellite Image Segmentation for Water Body Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Automated water body detection from satellite imagery is a fundamental stage for urban hydrological studies. In recent years, various deep convolutional neural network (DCNN)-based methods have been proposed to segment remote sensing data collected by ...
Kun Yuan +5 more
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International Journal of Applied Earth Observations and Geoinformation, 2021 Automatically registration of unmanned aerial vehicle (UAV) multispectral images is fundamental for subsequent applications. Although many studies exist for visible camera images and satellite multispectral image registration, studies for UAV are still ...
Lingxuan Meng +6 more
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Optics Express, 2015 Current multispectral imaging systems use narrowband filters to capture the spectral content of a scene, which necessitates different filters to be designed for each application. In this paper, we demonstrate the concept of Fourier multispectral imaging which uses filters with sinusoidally varying transmittance.
Jie, Jia +3 more
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Multiscale Fusion of Panchromatic and Multispectral Images Based on Adaptive Iterative Filtering
Remote Sensing, 2023 This paper proposes an efficient and high-fidelity image fusion method based on adaptive smoothing filtering for panchromatic (PAN) and multispectral (MS) image fusion.
Zhiqi Zhang +4 more
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