Results 91 to 100 of about 153,077 (360)

Hyperspectral image unmixing using a multiresolution sticky HDP [PDF]

, 2012
This paper is concerned with joint Bayesian endmember extraction and linear unmixing of hyperspectral images using a spatial prior on the abundance vectors.We propose a generative model for hyperspectral images in which the abundances are sampled from a ...
Hero, Alfred O., Dobigeon, Nicolas, Hero, Alfred, Mittelman, Roni   +3 more
core   +1 more source

Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine

Advanced Materials Interfaces, EarlyView.
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, Mohammad Rabiee, Mohammad Akrami‐Hasan‐Kohal, Sidi A. Bencherif   +3 more
wiley   +1 more source

Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Anomaly detection is susceptible to complex background and interference noise. Local anomaly detection and collaborative representation detection can effectively suppress background.
Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li   +5 more
doaj   +1 more source

Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification

IEEE Access, 2020
Detection of surface material based on hyperspectral imaging (HSI) analysis is an important and challenging task in remote sensing. It is widely known that spectral-spatial data exploitation performs better than traditional spectral pixel-wise procedures.
Mercedes E. Paoletti, Juan M. Haut, Swalpa Kumar Roy, Eligius M. T. Hendrix   +3 more
doaj   +1 more source

Tunable Extraordinary Optical Transmission in the Long‐Wavelength Infrared Range Using Electrostatic MEMS Actuation

Advanced Materials Technologies, EarlyView.
A MEMS‐integrated metamaterial filter enables continuous, low‐voltage spectral tuning in the long‐wavelength infrared (LWIR). The device employs extraordinary optical transmission in a dual suspended metasurface stack, where electrostatic actuation precisely controls the intermembrane air gap.
Oleg Bannik, Fedor Kovalev, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Ilya Shadrivov, Mariusz Martyniuk   +6 more
wiley   +1 more source

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2019
Convolutional neural network (CNN) has demonstrated impressive ability to represent hyperspectral images and to achieve promising results in hyperspectral image classification.
Sheng Wan, Chen Gong, P. Zhong, Bo Du, Lefei Zhang, Jian Yang   +5 more
semanticscholar   +1 more source

Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery [PDF]

, 2011
This paper presents a nonlinear mixing model for hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an additive white Gaussian noise.
Altmann, Yoann, Altmann, Yoann; id_orcid, Halimi, Abderrahim; id_orcid, Jean-Yves Tourneret, Halimi, Abderrahim, Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Dobigeon, Nicolas, Tourneret, Jean-Yves   +9 more
core   +1 more source

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, Fedor Kovalev, Mingkai Liu, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Mariusz Martyniuk, Ilya Shadrivov   +7 more
wiley   +1 more source

Mapping Materials and Dyes on Historic Tapestries Using Hyperspectral Imaging

Heritage, 2023
Hyperspectral imaging has emerged as a promising analytical method of artwork due to its potential in combining non-invasive analytical capabilities and imaging allowing the survey of the entire (or of a large area of the) surface of an artwork, which is
Constantina Vlachou-Mogire, Jon Danskin, John R. Gilchrist, Kathryn Hallett   +3 more
doaj   +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   +1 more source