Results 61 to 70 of about 77,081 (273)
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
, 2017 Spectral unmixing (SU) is a data processing problem in hyperspectral remote sensing. The significant challenge in the SU problem is how to identify endmembers and their weights, accurately. For estimation of signature and fractional abundance matrices in
Khoshsokhan, Sara +2 more
core +2 more sources
Non-Invasive Measurement of Frog Skin Reflectivity in High Spatial Resolution Using a Dual Hyperspectral Approach [PDF]
, 2013 Background:Most spectral data for the amphibian integument are limited to the visible spectrum of light and have been collected using point measurements with low spatial resolution.
Greven, H +5 more
core +4 more sources
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Research Progress of Hyperspectral Imaging Technology in Biological Evidence
Fayixue Zazhi, 2022 Hyperspectral imaging technology can obtain the spatial and spectral three-dimensional imaging of substances simultaneously, and obtain the unique continuous characteristic spectrum of substances in a wide spectrum range at a certain spatial resolution ...
GAO Yi, HUANG Tao, HAO Jing-ru, MA Yue
doaj +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 +7 more
wiley +1 more source
Hyperspectral imaging applied to end-of-life (EOL) concrete recycling [PDF]
, 2015 The recovery of materials from DW is an important target of the recycling industry and it is important to know which materials are presents in order to set up efficient sorting and/or quality control actions.
Bonifazi, Giuseppe +2 more
core +1 more source
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 +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 SensingAutoencoder (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 +4 more
doaj +1 more source
Hyperspectral Three-Dimensional Fluorescence Imaging Using Snapshot Optical Tomography
Sensors, 2021 Hyperspectral three-dimensional (3D) imaging can provide both 3D structural and functional information of a specimen. The imaging throughput is typically very low due to the requirement of scanning mechanisms for different depths and wavelengths. Here we
Cory Juntunen +2 more
doaj +1 more source
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery [PDF]
, 2009 This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Alfred O. Hero +5 more
core +9 more sources