Results 51 to 60 of about 204,035 (336)
4D‐Printed Magneto‐Plasmonic Microrobots for Programmable Spatiotemporal De‐Icing
A 4D‐printing strategy is introduced to achieve programmable de‐icing devices. By aligning gold–magnetite nanofillers within a photosensitive resin, the printed structures exhibit dual magnetic and plasmonic functionalities, enabling precise spatio‐temporal ice removal through thermoplasmonic effects.
Amélie Pérot +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
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
Target tracking in hyperspectral videos is a new research topic. In this paper, a novel method based on convolutional network and Kernelized Correlation Filter (KCF) framework is presented for tracking objects of interest in hyperspectral videos.
J Henriques +6 more
core +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
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
A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification
Land-cover classification is an important topic for remotely sensed hyperspectral (HS) data exploitation. In this regard, HS classifiers have to face important challenges, such as the high spectral redundancy, as well as noise, present in the data, and ...
Mercedes E. Paoletti +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
Development of a 3-Axis Gimbal for Drones to Improve Hyperspectral Imaging Quality of Large-Scale Natural Heritage [PDF]
This study presents the design, fabrication, and performance validation of a precision 3-axis gimbal system for drone-mounted applications. Traditional fixed bracket systems have faced challenges in maintaining stable imaging angles and mitigating ...
J. S. Lee +5 more
doaj +1 more source
Hyperspectral Satellites, Evolution, and Development History
Hyperspectral imaging has been emerged as a new generation of technology for earth observation and space exploration since the beginning of this millennium and widely used in various disciplinary and applications.
Shen-En Qian
doaj +1 more source

