Results 61 to 70 of about 23,100 (259)

Generalized Inpainting Method for Hyperspectral Image Acquisition

, 2015
A recently designed hyperspectral imaging device enables multiplexed acquisition of an entire data volume in a single snapshot thanks to monolithically-integrated spectral filters.
Blanch, Carolina, Cambareri, Valerio, Degraux, Kévin, Geelen, Bert, Image Processing (ICIP), 2015 IEEE International Conference on, Jacques, Laurent, Lafruit, Gauthier   +6 more
core   +1 more source

A Multi‐Resonant Tunable Fabry‐Pérot Cavity for High Throughput Spectral Imaging

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
This study introduces a multi‐resonant tunable Fabry‐Pérot filter for high throughput spectral imaging. With a spectral resolution of 10 nm and a switching time of 23 ms, this compact and low‐cost device possesses better spectral imaging accuracy in poor light conditions while maintaining over six times higher optical throughput than standard liquid ...
Xiao Wu, Zijian Lin, Shige Tang, Xiao Chen, Tingbiao Guo, Sailing He   +5 more
wiley   +1 more source

Band Selection for Hyperspectral Imagery Using Affinity Propagation

2008 Digital Image Computing: Techniques and Applications, 2008
Hyperspectral imagery generally contains enormous amounts of data due to hundreds of spectral bands. Band selection is often adopted firstly to reduce computational cost and accelerate knowledge discovery of subsequent classificationand analysis. Recently, a new clustering algorithm, named "affinity propagation," is proposed. Different from the popular
Y. Qian, F. Yao, S. Jia
openaire   +1 more source

Improved Disorder Resilience in Small‐Footprint Photonic Cavities with Periodicity Breaking

Advanced Optical Materials, EarlyView.
Compact photonic crystal cavities with engineered aperiodicity are demonstrated to sustain high quality factormodes and enhanced reproducibility within a minimal footprint. Combining numerical optimization and near‐field measurements, the study reveals how controlled periodicity breaking improves disorder resilience, offering a robust and scalable ...
Nicoletta Granchi, Camilla Gonzini, Matteo Lodde, Gabriele Calusi, René P. J. van Veldhoven, Andrea Fiore, Guillermo Arregui, Francesca Intonti   +7 more
wiley   +1 more source

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

Advanced Optical Materials, EarlyView.
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur, Nicolas T. Sandino, Jason P. Terry, Mahdi Ghafariasl, Yohannes Abate   +4 more
wiley   +1 more source

Band Subset Selection for Hyperspectral Image Classification

Remote Sensing, 2018
This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection (SMMBS), rather than one ...
Chunyan Yu, Meiping Song, Chein-I Chang
doaj   +1 more source

Hyperspectral pan-sharpening: a variational convex constrained formulation to impose parallel level lines, solved with ADMM

, 2014
In this paper, we address the issue of hyperspectral pan-sharpening, which consists in fusing a (low spatial resolution) hyperspectral image HX and a (high spatial resolution) panchromatic image P to obtain a high spatial resolution hyperspectral image ...
de Vieilleville, François, Grizonnet, Manuel, Huck, Alexis, Weiss, Pierre   +3 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

Unsupervised hyperspectral band selection by combination of unmixing and sequential clustering techniques

European Journal of Remote Sensing, 2019
Selecting the decisive spectral bands is a key issue in unsupervised hyperspectral band selection techniques. These methods are the most popular ways for dimensionality reduction of original data.
Sarra Ikram Benabadji, Moussa Sofiane Karoui, Khelifa Djerriri, Issam Boukerch, Nezha Farhi, Mohammed Amine Bouhlala   +5 more
doaj   +1 more source

Band Selection Using Combined Divergence–Correlation Index and Sparse Loadings Representation for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Band selection and feature extraction are the two paradigms of hyperspectral dimensionality reduction. While feature extraction methods have many desirable properties, band selection methods keep the actual reflectances intact, which results in better ...
Munmun Baisantry, Anil Kumar Sao, Dericks Praise Shukla   +2 more
doaj   +1 more source