Results 51 to 60 of about 10,052 (204)
Remote Sensing, 2022 In recent years, convolutional neural networks (CNNs) have been widely used in hyperspectral image (HSI) classification. However, feature extraction on hyperspectral data still faces numerous challenges.
Jun Sun +6 more
doaj +1 more source
A convex formulation for hyperspectral image superresolution via subspace-based regularization
, 2014 Hyperspectral remote sensing images (HSIs) usually have high spectral resolution and low spatial resolution. Conversely, multispectral images (MSIs) usually have low spectral and high spatial resolutions. The problem of inferring images which combine the
Almeida, Luis B. +3 more
core +2 more sources
Diagnostics, 2022 Complete mesocolic excision (CME), which involves the adequate resection of the tumor-bearing colonic segment with “en bloc” removal of its mesocolon along embryological fascial planes is associated with superior oncological outcomes. However, CME presents a higher complication rate compared to non-CME resections due to a higher risk of vascular injury.
Nariaki Okamoto +12 more
openaire +3 more sources
Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering
Advanced Photonics Research, Volume 6, Issue 5, May 2025.Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik +7 more
wiley +1 more source
Spectral Unmixing with Multiple Dictionaries
, 2017 Spectral unmixing aims at recovering the spectral signatures of materials, called endmembers, mixed in a hyperspectral or multispectral image, along with their abundances.
Cohen, Jeremy E., Gillis, Nicolas
core +2 more sources
Advanced Science, EarlyView.A real‐time, high‐definition hyperspectral endoscopy is enabled by developing a spatial‐temporal spectral encoding approach based on low‐frequency stochastic filters combined with an encoding‐guided attention network. It provides hyperspectral image of in vivo tissue with fine superficial features, enables visualization of rapid and subtle ...
Xiaowei Liu +11 more
wiley +1 more source
ICTACT Journal on Image and Video Processing, 2022 Hyperspectral images (HSI) have a wide range of spectral information compared to conventional images. This rich spectral information leads to store more information about the image.
K Priya, K K Rajkumar
doaj +1 more source
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 +13 more
wiley +1 more source
Mid‐Infrared Integrated Photonics: Material Platforms and Emerging Applications
Laser &Photonics Reviews, EarlyView.Mid‐infrared (MIR) integrated photonics enables advanced chemical and biological sensing through the unique absorption features of molecules in the 2–20 µm range. This review highlights recent material advances such as chalcogenide glasses, silicon, and graphene and explores MIR applications in environmental monitoring, medical diagnostics ...
Muhammad Ali Butt +2 more
wiley +1 more source
A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method
Remote Sensing, 2019 Supervised hyperspectral image (HSI) classification has been acknowledged as one of the fundamental tasks of hyperspectral data analysis. Witnessing the success of analysis dictionary learning (ADL)-based method in recent years, we propose an ADL-based ...
Wei Wei +5 more
doaj +1 more source