Results 41 to 50 of about 28,301 (266)
In this work, we highlight a unique material platform capable of producing three distinct room temperature (RT) photoluminescence (PL) resonances from spatially separated regions composed of a heterobilayer (HBL), a homobilayer (HoBL), and an heterotrilayer (HTL) transition metal dichalcogenide (TMD) heterostructures configuration on a highly ...
Bhabani Sankar Sahoo +8 more
wiley +1 more source
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
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
Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation
Sparse representation (SR)-based models have been widely applied for hyperspectral image classification. In our previously established constraint representation (CR) model, we exploited the underlying significance of the sparse coefficient and proposed ...
Haoyang Yu +5 more
doaj +1 more source
A General Framework for Change Detection Using Multimodal Remote Sensing Data
A general framework for change detection is proposed to analyze multimodal remotely sensed data utilizing the Kronecker product between two data representations (vectors or matrices).
Sanid Chirakkal +4 more
doaj +1 more source
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
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
MEETNet: Morphology-Edge Enhanced Triple-Cascaded Network for Infrared Small Target Detection
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 +4 more
doaj +1 more source
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
Spectral-Enhanced Sparse Transformer Network for Hyperspectral Super-Resolution Reconstruction
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 +6 more
doaj +1 more source
Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification
Deep neural networks (DNNs) have emerged as a relevant tool for the classification of remotely sensed hyperspectral images (HSIs), with convolutional neural networks (CNNs) being the current state-of-the-art in many classification tasks.
Mercedes E. Paoletti +3 more
doaj +1 more source

