Results 41 to 50 of about 1,806,074 (180)

Detection of Frost-Damaged Maize Kernels for Food Quality Screening Using Hyperspectral Imaging and 2D-COS-Assisted Deep Learning. [PDF]

Food Sci Nutr
This work presents a nondestructive strategy for identifying frost‐damaged maize kernels using hyperspectral imaging (900–1700 nm) combined with 2D‐COS‐assisted deep learning. MSC preprocessing was adopted, and 432 frost‐damage‐related characteristic bands were extracted by 2D‐COS.
Nan J, Wang D, Wang H, Hu C, Li J, Zhang W, Li F, Han J.   +7 more
europepmc   +2 more sources

EnMAP: hyperspectral Imager (HSI) for Earth observation: current status [PDF]

International Conference on Space Optics — ICSO 2018, 2019
The Environmental Mapping and Analysis Program (EnMAP) is a German space borne science mission that aims at characterizing the Earth’s environment on a global scale. The single payload of the satellite is the Hyperspectral Imager (HSI). It is capable of measuring the solar radiance reflected from the Earth’s surface as a continuous spectrum in the ...
Martin Mücke, B. Sang, B. Heider, H. -P. Honold, M. Sornig, S. Fischer   +5 more
openaire   +1 more source

Lightfield hyperspectral imaging in neuro-oncology surgery: an IDEAL 0 and 1 study

Frontiers in Neuroscience, 2023
IntroductionHyperspectral imaging (HSI) has shown promise in the field of intra-operative imaging and tissue differentiation as it carries the capability to provide real-time information invisible to the naked eye whilst remaining label free.
Oscar MacCormac, Oscar MacCormac, Philip Noonan, Mirek Janatka, Conor C. Horgan, Anisha Bahl, Jianrong Qiu, Matthew Elliot, Matthew Elliot, Théo Trotouin, Jaco Jacobs, Sabina Patel, Mads S. Bergholt, Keyoumars Ashkan, Keyoumars Ashkan, Sebastien Ourselin, Sebastien Ourselin, Michael Ebner, Tom Vercauteren, Tom Vercauteren, Jonathan Shapey, Jonathan Shapey, Jonathan Shapey   +22 more
doaj   +1 more source

A background correction method to compensate illumination variation in hyperspectral imaging.

PLoS ONE, 2020
Hyperspectral imaging (HSI) can measure both spatial (morphological) and spectral (biochemical) information from biological tissues. While HSI appears promising for biomedical applications, interpretation of hyperspectral images can be challenging when ...
Jonghee Yoon, Alexandru Grigoroiu, Sarah E Bohndiek   +2 more
doaj   +1 more source

HeiPorSPECTRAL - the Heidelberg Porcine HyperSPECTRAL Imaging Dataset of 20 Physiological Organs

Scientific Data, 2023
Hyperspectral Imaging (HSI) is a relatively new medical imaging modality that exploits an area of diagnostic potential formerly untouched. Although exploratory translational and clinical studies exist, no surgical HSI datasets are openly accessible to ...
Alexander Studier-Fischer, Silvia Seidlitz, Jan Sellner, Marc Bressan, Berkin Özdemir, Leonardo Ayala, Jan Odenthal, Samuel Knoedler, Karl-Friedrich Kowalewski, Caelan Max Haney, Gabriel Salg, Maximilian Dietrich, Hannes Kenngott, Ines Gockel, Thilo Hackert, Beat Peter Müller-Stich, Lena Maier-Hein, Felix Nickel   +17 more
doaj   +1 more source

Hyperspectral imaging (hsi): applications in animal and dairy sector

Journal of Experimental Biology and Agricultural Sciences, 2016
Hyperspectral imaging (HSI), also known as imaging spectroscopy or 3D spectroscopy, combines imaging and spectroscopy into a single system. With a high resolution measurement of spectral signatures, HSI is able to provide critical information of the target.
Abhinav Kumar, Sonal Saxena, Sameer Shrivastava, Vandana Bharti, Upendra Kumar, Kuldeep Dhama   +5 more
openaire   +1 more source

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences [PDF]

, 2021
The aim of the Special Issue “Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences” was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields.

core   +2 more sources

Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning

Sensors, 2022
In order to reduce the amount of hyperspectral imaging (HSI) data transmission required through hyperspectral remote sensing (HRS), we propose a structured low-rank and joint-sparse (L&S) data compression and reconstruction method.
Yanbin Zhang, Long-Ting Huang, Yangqing Li, Kai Zhang, Changchuan Yin   +4 more
doaj   +1 more source

Surgical hyperspectral imaging: a systematic review

Computer Assisted Surgery
Hyperspectral imaging (HSI) is a technique that captures and processes information across a wide spectrum of wavelengths, providing detailed spectral data for each pixel in an image to identify and analyze materials or objects. In the surgical domain, it
Hafsa Moontari Ali, Yiming Xiao, Marta Kersten-Oertel   +2 more
doaj   +1 more source

Hyperspectral Imaging Combined with Deep Learning to Detect Ischemic Necrosis in Small Intestinal Tissue

Photonics, 2023
Obtaining adequate resection margins in small intestinal necrotic tissue remains challenging due to the lack of intraoperative feedback. Here, we used hyperspectral imaging (HSI), an imaging technique for objective identification, combined with deep ...
Lechao Zhang, Yao Zhou, Danfei Huang, Libin Zhu, Xiaoqing Chen, Zhonghao Xie, Guihua Cui, Guangzao Huang, Shujat Ali, Xiaojing Chen   +9 more
doaj   +1 more source