Results 91 to 100 of about 270,656 (363)

Unsupervised Hyperspectral Microscopic Image Segmentation Using Deep Embedded Clustering Algorithm

Scanning, 2022
Hyperspectral microscopy in biology and minerals, unsupervised deep learning neural network denoising SRS photos: hyperspectral resolution enhancement and denoising one hyperspectral picture is enough to teach unsupervised method.
P. Ajay, B. Nagaraj, R. A. Kumar, Ruihang Huang, P. Ananthi   +4 more
semanticscholar   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review

Remote Sensing, 2020
Lately, with deep learning outpacing the other machine learning techniques in classifying images, we have witnessed a growing interest of the remote sensing community in employing these techniques for the land use and land cover classification based on ...
A. Vali, S. Comai, M. Matteucci
semanticscholar   +1 more source

High Light Utilization and Color Rendering in Vacuum‐Deposited Semitransparent Perovskite Solar Cells

Advanced Materials, EarlyView.
In this work, low bandgap (≈1.55 eV) semitransparent perovskite solar cells (ST‐PSCs) having thin (thickness < ≈100 nm) perovskite layers and transparent conductive oxide‐based rear electrodes are fabricated using vacuum‐deposition methods. Two different ST‐PSCs demonstrated a high light utilization efficiency value of 4.2 (PCE: 9.26% and AVT: 45.3 ...
Abhyuday Paliwal, Manuel Romero, Lennart van den Hengel, Nathan Rodkey, Kassio P. S. Zanoni, Gabriel Lozano, Cristina Roldán‐Carmona, Michele Sessolo, Hernán Míguez, Henk J. Bolink   +9 more
wiley   +1 more source

Assessing Grapevine Biophysical Parameters From Unmanned Aerial Vehicles Hyperspectral Imagery [PDF]

, 2022
Alessandro Matese, Salvatore Filippo Di Gennaro, Giorgia Orlandi, Matteo Gatti, Stefano Poni   +4 more
openalex   +1 more source

Mistletoe‐ and Mussel‐Inspired Fabrication of Hierarchically Structured Protein‐Cellulose Scaffolds From Biomolecular Condensates

Advanced Materials, EarlyView.
Merging materials processing tricks inspired by mussel and mistletoe fiber fabrication, solutions of cationic mussel byssus proteins were mixed with modified anionic nanocrystalline cellulose, producing distinctive core‐shell condensates. Simple processing of condensate suspensions using freeze‐drying produced hierarchically structured porous protein ...
Hamideh R. Alanagh, Seyed Mohammad Amin Ojagh, Arman Jafari, Xinyu Zhan, Tara Sprules, Alexandre Poulhazan, Houman Savoji, Adam G. Hendricks, Theo G.M. van de Ven, Matthew J. Harrington   +9 more
wiley   +1 more source

KDAD: Knowledge Distillation-Based Anomaly Detection for Thermal Infrared Hyperspectral Image

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Autoencoder (AE) is extensively utilized in hyperspectral anomaly detection (HAD) tasks owing to its robust feature extraction and image reconstruction capabilities. However, AE lacks constraints on anomaly samples during the training process, leading to
Enyu Zhao, Hao Zhang, Nianxin Qu, Yulei Wang, Yongguang Zhao   +4 more
doaj   +1 more source

Hyperspectral Mamba for Hyperspectral Object Tracking

Hyperspectral object tracking holds great promise due to the rich spectral information and fine-grained material distinctions in hyperspectral images, which are beneficial in challenging scenarios. While existing hyperspectral trackers have made progress by either transforming hyperspectral data into false-color images or incorporating modality fusion ...
Gao, Long, Zhang, Yunhe, Jiang, Yan, Xie, Weiying, Li, Yunsong   +4 more
openaire   +2 more sources

Hyperspectral Shack–Hartmann test [PDF]

Applied Optics, 2010
A hyperspectral Shack-Hartmann test bed has been developed to characterize the performance of miniature optics across a wide spectral range, a necessary first step in developing broadband achromatized all-polymer endomicroscopes. The Shack-Hartmann test bed was used to measure the chromatic focal shift (CFS) of a glass singlet lens and a glass ...
Gabriel C, Birch, Michael R, Descour, Tomasz S, Tkaczyk   +2 more
openaire   +2 more sources

Multimodal Imaging of Strain and Light Emission of Core–Shell InGaN/GaN Wires under a Sub‐Micrometer Polychromatic X‐Ray Probe

Advanced Materials Interfaces, EarlyView.
Micro‐Laue diffraction and excited optical X‐ray luminescence are used to study InGaN/GaN core‐shell wires on the BM32 beamline at the European Synchrotron. Multimodal imaging of X‐ray fluorescence, deviatoric strain tensors and optical emissions is performed using simultaneous mapping.
Beatriz de Goes Foschiani, Sergio Bongiorno, Odile Robach, Olivier Ulrich, Jean‐Sébastien Micha, Joël Eymery   +5 more
wiley   +1 more source