Results 121 to 130 of about 35,627 (298)

Hyperspectral Imaging Combined With Image Fusion Features and Machine Learning to Discriminate Different Origins, Grades, and Shelf‐Life of Oranges

Food Safety and Health, EarlyView.
This study verified that it is feasible to distinguish oranges of different origins, grades and shelf lives by using hyperspectral technology. It covers spectral, image and graph technologies, as well as machine learning and deep learning models. ABSTRACT This study reports the first application of hyperspectral feature fusion technology combined with ...
Honghui Xiao, Hao Hu, Hanyi Mei, Hao Deng, Yongzhi Zhang, Jing Nie, Hao Wu, Karyne M. Rogers, Yuwei Yuan, Chunlin Li   +9 more
wiley   +1 more source

Linear Spatial Misregistration Detection and Correction Based on Spectral Unmixing for FAHI Hyperspectral Imagery. [PDF]

Sensors (Basel), 2022
Zhang X, Cheng X, Xue T, Wang Y.
europepmc   +1 more source

A Label‐Free Hyperspectral Imaging Device for Ex Vivo Characterization and Grading of Meningioma Tissues

Journal of Biophotonics, EarlyView.
HyperProbe1.1 enables rapid, label‐free biochemical mapping of freshly resected meningiomas. By quantifying endogenous biomarkers such as cytochrome c oxidase, hemoglobin derivatives, and lipids, the system reveals molecular signatures consistent with tumor grading and generates spatial maps that visualize metabolic and vascular heterogeneity across ...
Pietro Ricci, Camilla Bonaudo, Ivan Ezhov, Anam Toaha, Dorotea Nardini, Manuel Camelia, Federica Lucidi, Filippo Nozzoli, Tim Mach, Ilias Tachtsidis, Daniel Rueckert, Alessandro Della Puppa, Luca Giannoni, Francesco S. Pavone   +13 more
wiley   +1 more source

Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance.

PLoS ONE, 2015
This study proposed the use of satellite hyperspectral imagery to support tick-borne infectious diseases surveillance based on monitoring the variation in amplifier hosts food sources.
Gina Polo, Marcelo Bahia Labruna, Fernando Ferreira   +2 more
doaj   +1 more source

Airborne Hyperspectral Imagery for Band Selection Using Moth-Flame Metaheuristic Optimization. [PDF]

J Imaging, 2022
Anand R, Samiaappan S, Veni S, Worch E, Zhou M.   +4 more
europepmc   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Hyperspectral Pansharpening Enhanced With Multi-Image Super-Resolution for PRISMA Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral imagery provides rich spectral information, but commonly suffers from low spatial resolution. This problem can be addressed with hyperspectral pansharpening, which benefits from a high-resolution (HR) panchromatic (PAN) image to enhance the
Maciej Ziaja, Pawel Kowaleczko, Tomasz Tarasiewicz, Daniel Kostrzewa, Michal Kawulok   +4 more
doaj   +1 more source

Assessing Grapevine Biophysical Parameters From Unmanned Aerial Vehicles Hyperspectral Imagery. [PDF]

Front Plant Sci, 2022
Matese A, Di Gennaro SF, Orlandi G, Gatti M, Poni S.   +4 more
europepmc   +1 more source

BCARS Simulated Phantom Dataset for Evaluation of Processing Pipelines

Journal of Raman Spectroscopy, EarlyView.
A tissue phantom, containing fingerprint Raman spectra at each pixel, is developed to evaluate Raman signal processing pipelines. The phantom is created from a BCARS image of a murine hepatic tissue. ABSTRACT Broadband coherent anti‐Stokes Raman scattering (BCARS) microscopy is a powerful label‐free biological imaging technique, but the raw signal ...
Jessica Z. Dixon, Eric G. Baker, Charles H. Camp, Sidharth Laxminarayan, Abigail Bonde, Marcus T. Cicerone   +5 more
wiley   +1 more source

Identification and Classification of Small Sample Desert Grassland Vegetation Communities Based on Dynamic Graph Convolution and UAV Hyperspectral Imagery. [PDF]

Sensors (Basel), 2023
Zhang T, Bi Y, Zhu X, Gao X.
europepmc   +1 more source