Results 51 to 60 of about 98,568 (293)

Defect‐Mediated Inelastic Light Scattering by Infrared Phonons in Hexagonal Boron Nitride

Advanced Functional Materials, EarlyView.
Optically active defects in hexagonal boron nitride enable inelastic stimulated light scattering mediated by infrared‐active phonons, relaxing conventional Raman selection rules. Defect engineering enhances the Stokes‐conversion process and activates both TO‐ and LO‐phonon scattering channels.
Prabhdeep Singh, Bharti Garg, Maximilian Black, Masoud Taleb, Nahid Talebi   +4 more
wiley   +1 more source

Beyond being wise after the event: Combining spatial, temporal and spectral information for Himawari-8 early-stage wildfire detection

International Journal of Applied Earth Observations and Geoinformation, 2023
Wildfires frequently occur around the world, which seriously threaten the ecology, environment, economic development, even human safety. In this work, we propose a novel framework for near-real-time and early-stage wildfire detection using Himawari-8 ...
Qiang Zhang, Jian Zhu, Yan Huang, Qiangqiang Yuan, Liangpei Zhang   +4 more
doaj   +1 more source

Hyperspectral Image Resolution Enhancement Based on Spectral Unmixing and Information Fusion [PDF]

, 2011
Hyperspectral imaging sensors exibit high spectral resolution, but normally low spatial resolution. This leads to spectral signatures of pixels originating from different object types. Such pixels are called mixed pixels.
Avbelj, Janja, Reinartz, Peter, Müller, Rupert, Cerra, Daniele, Bieniarz, Jakub   +4 more
core  

Ionic Gating of Liquid‐Crystal‐Like Pteridine Assemblies Enables Tunable Light Scattering

Advanced Materials, EarlyView.
Tunable optical properties emerge through developmentally regulated ionic gating, which transforms disordered, ultraviolet (UV)‐absorbing organelles into concentrically ordered, liquid‐crystal‐like light scatterers. By integrating analyses of pteridine composition, potassium‐dependent assembly, hierarchical ultrastructure, and optical behavior, the ...
Sourabh Bera, Zohar Eyal, Yael Noy, Yuval Barzilay, Siddharth Sahoo, Srikant Moharana, Avi Baram, Tali Lerer‐Goldshtein, Neta Varsano, Bar Bader, Lothar Houben, Uwe Heinig, Iddo Pinkas, Moshe Goldsmith, Tamar Unger, Shira Albeck, Andrea Sorrentino, Maxim Itkin, Sergey Malitsky, Ziv Porat, Ido Hadar, Venkata Jayasurya Yallapragada, Dvir Gur   +22 more
wiley   +1 more source

Hyperspectral Python: HypPy

Algorithms
This paper describes the design, implementation, and usage of a Python package called Hyperspectral Python (HypPy). Proprietary software for processing hyperspectral images is expensive, and tools developed using these packages cannot be freely distributed.
Wim H. Bakker, Frank van Ruitenbeek, Harald van der Werff, Christoph A. Hecker, Arjan H. Dijkstra, Freek D. van der Meer   +5 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, Fedor Kovalev, Mingkai Liu, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Mariusz Martyniuk, Ilya Shadrivov   +7 more
wiley   +1 more source

MEETNet: Morphology-Edge Enhanced Triple-Cascaded Network for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection is focused on accurately identifying tiny targets with low signal-to-noise ratio against complex backgrounds, representing a critical challenge in the field of infrared image processing. Existing approaches frequently fail
Enyu Zhao, Yu Shi, Nianxin Qu, Yulei Wang, Hang Zhao   +4 more
doaj   +1 more source

Estimating Optimal Number of Compressively Sensed Bands for Hyperspectral Classification via Feature Selection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Compressive sensing (CS) has received considerable interest in hyperspectral sensing. Recent articles have also exploited the benefits of CS in hyperspectral image classification (HSIC) in the compressively sensed band domain (CSBD).
C. J. Della Porta, Chein-I Chang
doaj   +1 more source

UC Food Waste: A Multimodal Robotic Perception Dataset for Robust Contaminant Detection in Complex Biowaste Scenes

Advanced Robotics Research, EarlyView.
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal, James Ireland, David Hinwood, Xing Wang, Min Wang, Damith Herath   +5 more
wiley   +1 more source

Spectral-Enhanced Sparse Transformer Network for Hyperspectral Super-Resolution Reconstruction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) has garnered increasing attention due to its capacity for capturing extensive spectral information. However, the acquisition of high spatial resolution HSIs is often restricted by current imaging hardware limitations.
Yuchao Yang, Yulei Wang, Hongzhou Wang, Lifu Zhang, Enyu Zhao, Meiping Song, Chunyan Yu   +6 more
doaj   +1 more source