Results 81 to 90 of about 107,679 (337)

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

Unsupervised Machine Learning Framework for Identification of Spatial Distribution of Minerals on Mars

Remote Sensing
Planetary exploration missions have acquired a growing amount of remote sensing data, offering a reliable basis for studying the geological evolution of planetary bodies such as Mars.
Tejay Lovelock, Rohitash Chandra
doaj   +1 more source

HYPERSPECTRAL TRANSFORMATION FROM EO-1 ALI IMAGERY USING PSEUDO-HYPERSPECTRAL IMAGE SYNTHESIS ALGORITHM [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Hyperspectral remote sensing is more effective than multispectral remote sensing in many application fields because of having hundreds of observation bands with high spectral resolution.
N. T. Hoang, N. T. Hoang, K. Koike
doaj   +1 more source

Sparse Unmixing of Hyperspectral Data [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2011
Linear spectral unmixing is a popular tool in remotely sensed hyperspectral data interpretation. It aims at estimating the fractional abundances of pure spectral signatures (also called as endmembers) in each mixed pixel collected by an imaging spectrometer.
Marian-Daniel Iordache, José M. Bioucas-Dias, Antonio Plaza   +2 more
openaire   +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

Hyperspectral Detection of Single and Combined Effects of Simulated Tree Shading and Alternaria alternata Infection on Sorghum bicolor, from Leaf to UAV-Canopy Scale

Agronomy
Agroforestry systems offer clear environmental and agronomic advantages, but their effect on plant–biotic stressor interactions remains poorly understood.
Lorenzo Pippi, Michael Alibani, Nicola Acito, Daniele Antichi, Giovanni Caruso, Marco Fontanelli, Michele Moretti, Cristina Nali, Silvia Pampana, Elisa Pellegrini, Andrea Peruzzi, Samuele Risoli, Gabriele Sileoni, Nicola Silvestri, Lorenzo Gabriele Tramacere, Lorenzo Cotrozzi   +15 more
doaj   +1 more source

Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements

Remote Sensing, 2014
Spectral Vegetation Indices (SVIs) have been widely used to indirectly detect plant diseases. The aim of this research is to evaluate the effect of different disease symptoms on SVIs and introduce suitable SVIs to detect rust disease.
Davoud Ashourloo, Mohammad Reza Mobasheri, Alfredo Huete   +2 more
doaj   +1 more source

Terahertz Chiral Recognition Based on Metasurfaces

Advanced Photonics Research, EarlyView.
A novel terahertz chiral sensing method based on a multilayer metallic metasurface is proposed. The left‐handed circularly polarized and right‐handed circularly polarized components in the linearly polarized illuminating light into two focal points and convert them back into linear polarization for convenient measurement.
Xuyang Ji, Yufei Liu, Shuang Sun, Zehao He, Yuyao Yang, Yan Zhang   +5 more
wiley   +1 more source

Nonlinear unmixing of minerals based on the log and continuum removal model

European Journal of Remote Sensing, 2019
Spectral mixing models for minerals can be complex, and choosing the right unmixing model is indispensable to ensure the accuracy of spectral unmixing. Continuum removal (CR) and natural log operation have the potential to eliminate nonlinear effects in ...
Hengqian Zhao, Xuesheng Zhao
doaj   +1 more source

Supervised Distance-Based Feature Selection for Hyperspectral Target Detection

Remote Sensing, 2019
Feature/band selection (FS/BS) for target detection (TD) attempts to select features/bands that increase the discrimination between the target and the image background. Moreover, TD usually suffers from background interference. Therefore, bands that help
Amir Moeini Rad, Ali Akbar Abkar, Barat Mojaradi   +2 more
doaj   +1 more source