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See all on WikipediaSpectral imaging - Wikipedia
Spectral imaging is imaging that uses multiple bands across the electromagnetic spectrum. While an ordinary camera captures light across three wavelength bands in the visible spectrum, red, green, and blue (RGB), spectral imaging encompasses a wide variety of techniques that go beyond RGB. Spectral imaging … See more
Wikipedia text under CC-BY-SA license Hyperspectral imaging - Wikipedia
Hyperspectral remote sensing is used in a wide array of applications. Although originally developed for mining and geology (the ability of hyperspectral imaging to identify various minerals makes it ideal for the mining and oil industries, where it can be used to look for ore and oil), it has now spread into fields as widespread as ecology and surveillance, as well as historical manuscript rese…
Wikipedia · Text under CC-BY-SA license- Estimated Reading Time: 9 mins
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Spectral imaging with deep learning | Light: Science & Applications
WEBMar 16, 2022 — The goal of spectral imaging is to capture the spectral signature of a target. Traditional scanning method for spectral imaging suffers from large system …
Multispectral vs Hyperspectral Imagery Explained
WEBJul 23, 2014 — Summary: Multispectral vs Hyperspectral. Having a higher level of spectral detail in hyperspectral images gives the better capability to see the unseen. For example, hyperspectral remote sensing …
SpectrAI - Home
WEBWith SpectrAI, we demonstrate spectral image super-resolution, preserving both spatial and spectral details for enhanced analysis and applications. Docs. Spectral semantic …
Spectral Imaging: Methods, Design, and Applications
WEBJan 1, 2012 — Spectral imaging is a relatively new field in which the advantages of optical spectroscopy as an analytical tool are combined with the power of object visualization as …
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Spectral imaging: Principles and applications - Garini
WEBSep 12, 2006 — Spectral imaging combines these two methodologies, spectroscopy and imaging. Whereas imaging provides the intensity at every pixel of the image, I ( x,y ), and a typical spectrometer provides a single …
Hyperspectral and Multispectral Imaging | Features
WEBBy analyzing spectral characteristics of the captured images, farmers can accurately determine the status of crops, including the general health of plants, the state of the soil, regions that have been treated with certain …
ZEISS Microscopy Online Campus | Introduction to Spectral Imaging
WEBUnlike a typical image, which is acquired over the entire wavelength response band of the detector, a spectral image requires the creation of a three-dimensional data set that …
Spectral Imaging – multispectral, hyperspectral, …
WEBThe term spectral imaging (or spectroscopic imaging) denotes imaging methods which also provide a substantial amount of spectral information – not necessarily whole optical spectra, but at least images with multiple …
Getting Started with Hyperspectral Image Processing
WEBHyperspectral imaging measures the spatial and spectral characteristics of an object by imaging it at numerous different wavelengths. The wavelength range extends beyond the visible spectrum and covers the spectrum …
Hyperspectral and Multispectral Imaging - Edmund Optics
WEBIn the simplest terms, hyperspectral imaging (HSI) is a method for capturing images that contain information from a broader portion of the electromagnetic spectrum. This portion …
What is hyperspectral imaging? - Middleton Spectral
WEBHyperspectral imaging (HSI), or chemical imaging (CI), is the combination of spectroscopy and digital imaging. A spectral image contains many spectra, one for each individual …
Snapshot spectral imaging with parallel metasystems
WEBSep 18, 2020 — Here, we propose and experimentally demonstrate a snapshot spectral imager using a parallel optical processing paradigm based on arrays of metasystems. …
Spectral Image - an overview | ScienceDirect Topics
WEBApr 4, 2010 — A spectral image is an image that uses multiple bands across the electromagnetic spectrum, such as infrared or X-rays. It can be classified as …
Hyperspectral Imaging from Space - GIS Geography
WEBOct 20, 2020 — Imagine seeing the world in more spectral detail so you can better understand and discern anything on our planet. Both multispectral and hyperspectral …
Snapshot multispectral imaging using a diffractive optical network …
WEBApr 6, 2023 — Here, we present a diffractive optical network-based multispectral imaging system trained using deep learning to create a virtual spectral filter array at the output …
WEBSpectrai provides numerous built-in spectral data pre-processing and augmentation methods, neural networks for spectral data including spectral (image) denoising, …
Single shot multispectral multidimensional imaging using chaotic …
WEBAug 17, 2020 — In this study, we synthesize tailored incoherent chaotic waves using a quasi-random array of pinholes (QRAP) to encode spatial as well as spectral information of an …
Spectral Imaging | Bioimaging - University of South Alabama
WEBSpectral imaging utilizes spectral filtering technology to scan, or filter, wavelengths to form a contiguous spectrum. The result is a 3-D image cube, with the third dimension is each …
Spectral imaging (radiography) - Wikipedia
WEBSpectral imaging is an umbrella term for energy-resolved X-ray imaging in medicine. [1] The technique makes use of the energy dependence of X-ray attenuation to either …
Mask-guided Spectral-wise Transformer for Efficient …
WEBIn this paper, we propose a novel framework, Mask-guided Spectral-wise Transformer (MST), for HSI reconstruction. Specifically, we present a Spectral-wise Multi-head Self …
Multispectral imaging - Wikipedia
WEBMultispectral imaging captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters or detected with …
Spectral Reconstruction for Paired Images Based on Semi …
WEB3 days ago — Spectral reconstruction (SR) techniques can generate hyperspectral images (HSIs) from multispectral images (MSIs) with the same spatial resolution, thus …
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