Results 71 to 80 of about 6,292,229 (390)
DiagnosticsThe implementation of tumor grading tasks with image processing and machine learning techniques has progressed immensely over the past several years.
Suchithra Kunhoth, Somaya Al-Maadeed
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Information Fusion Techniques for Segmentation of Multispectral Images [PDF]
Memoirs of the Scientific Sections of the Romanian Academy, 2012 Image Fusion is the combining process of relevant information from one, two or more images to create a single image which is more complete than any of the input ones.
Silviu Ioan Bejinariu +2 more
doaj
Remote Sensing, 2022 Compared with hardware upgrading, pansharpening is a low-cost way to acquire high-quality images, which usually combines multispectral images (MS) in low spatial resolution with panchromatic images (PAN) in high spatial resolution.
Xuan Liu +3 more
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PRISMS: remote high resolution in situ multispectral imaging of wall paintings [PDF]
, 2008 The non-invasive monitoring and examination of wall paintings in grotto sites, tombs and buildings is particularly important since these paintings are often extremely vulnerable. Traditionally, inspection of wall paintings at high resolution (i.e.
Keita, K, Liang, H, Vajzovic, T
core
Multispectral images of peach related to firmness and maturity at harvest [PDF]
, 2009 wo multispectral maturity classifications for red soft-flesh peaches (‘Kingcrest’, ‘Rubyrich’ and ‘Richlady’ n = 260) are proposed and compared based on R (red) and R/IR (red divided by infrared) images obtained with a three CCD camera (800 nm, 675 nm ...
A. Herrero +35 more
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Deblurring Multispectral Laparoscopic Images
, 2014 Multispectral imaging is an optical modality that can provide real-time in vivo information about tissue characteristics and function through signal sensitivity to chromophores in the tissue. In this paper, we present a deblurring strategy that enables imaging of dynamic tissues at wavelengths where the required acquisition time can cause significant ...
Geoffrey Jones +4 more
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Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.This article presents a hybrid metal‐dielectric metasurface in transmission mode for mid‐infrared (MIR) spectroscopy. Composed of germanium on aluminium cylinders atop a calcium fluoride substrate, the metasurface achieves 80% transmission efficiency at λ = 2.6 µm with a narrow full‐width‐half‐maximum of 0.4 µm.
Amr Soliman +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In this article, a multichannel convolutional neural network (CNN) based object detection was used to detect suspected trees of pine wilt disease after acquiring aerial photographs through a rotorcraft drone equipped with a multispectral camera.
Hae Gwang Park +3 more
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Hyperspectral and Multispectral Image Fusion via Deep Two-Branches Convolutional Neural Network
Remote Sensing, 2018 Enhancing the spatial resolution of hyperspectral image (HSI) is of significance for applications. Fusing HSI with a high resolution (HR) multispectral image (MSI) is an important technology for HSI enhancement.
Jingxiang Yang, Yongqiang Zhao, J. Chan
semanticscholar +1 more source
A Multi‐Resonant Tunable Fabry‐Pérot Cavity for High Throughput Spectral Imaging
Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.This study introduces a multi‐resonant tunable Fabry‐Pérot filter for high throughput spectral imaging. With a spectral resolution of 10 nm and a switching time of 23 ms, this compact and low‐cost device possesses better spectral imaging accuracy in poor light conditions while maintaining over six times higher optical throughput than standard liquid ...
Xiao Wu +5 more
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