Results 51 to 60 of about 34,632 (306)
Ultra‐Confinement of Polaritons in Single Atomic Layer Ag Photonic Quantum Dots
Strong confinement of surface phonon polaritons of silicon carbide was achieved in photonic quantum dots fabricated from van der Waals heterostructure of epitaxial graphene over single‐atomic layer silver. Scattering‐type scanning near‐field optical microscopy combined with an analytical approach, developed to reveal local propagation constants with ...
Xinyi Li +10 more
wiley +1 more source
Editorial for Special Issue “Hyperspectral Imaging and Applications”
Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging.
Chein-I Chang +3 more
doaj +1 more source
Chromatic Dispersion Based Wide-Band, Fiber-Coupled, Tunable Light Source for Hyperspectral Imaging
Hyperspectral imaging is a powerful label-free imaging technique that provides topological and spectral information at once. In this work, we have designed and characterized a hyperspectral source based on the chromatic dispersion property of off-the ...
Gargi Sharma +3 more
doaj +1 more source
Full Vectorial Field Sensing Using Liquid Crystal Droplet Arrays
An inkjet‐printed liquid crystal droplet array enables compact, low‐cost, single‐shot sensing of the full vectorial light field. Within a single platform, it simultaneously retrieves intensity, polarization, and phase, while dual‐wavelength operation highlights its capability for multi‐wavelength optical field characterization. ABSTRACT Determining the
Xuke Qiu +10 more
wiley +1 more source
Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection
Anomaly detection is susceptible to complex background and interference noise. Local anomaly detection and collaborative representation detection can effectively suppress background.
Meiping Song +5 more
doaj +1 more source
Illumination invariance and shadow compensation on hyperspectral images [PDF]
To obtain intrinsic reflectance of the scene by hyperspectral imaging systems has been a scientific and engineering challenge. Factors such as illumination variations, atmospheric effects and viewing geometries are common artefacts which modulate the way
Ibrahim, Izzati
core
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei +6 more
core +1 more source
Customizing kernel functions for SVM-based hyperspectral image classification [PDF]
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Damper, R. I. +7 more
core +1 more source
Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee +3 more
wiley +1 more source
Enhancing hyperspectral image unmixing with spatial correlations [PDF]
This paper describes a new algorithm for hyperspectral image unmixing. Most unmixing algorithms proposed in the literature do not take into account the possible spatial correlations between the pixels.
Jean-Yves Tourneret +5 more
core +1 more source

