The deal ends ban threats and uncertainty, but a weekend outage and new terms of service and privacy policies raise questions about the algorithm. Image generated by ...
The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...
Researchers in China have developed a novel deep learning model to detect defects in photovoltaic panels. The approach leverages high-resolution visible light imaging to identify defects using an ...
High-Accuracy Dynamic Star Spot Positioning Method Using Multistar Joint Processing for Star Sensors
In highly maneuverable spacecraft missions, star spot images suffer from reduced signal-to-noise ratio (SNR) and trailing effects, both of which interfere with accurate star spot positioning. This ...
Abstract: Centroid extraction from satellite images is crucial for satellite positioning, target tracking, and attitude analysis. This paper proposes a satellite image high-precision centroid ...
UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...
The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...
The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...
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