When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...

"Every single subframe I take (prior to stacking) now contains at least one, and usually more than one satellite streak." When you purchase through links on our site, we may earn an affiliate ...

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 ...

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 ...

Deep learning, a branch of artificial intelligence (AI), imitates human thinking and learning by enabling computers to learn from data examples. At its foundation are ‘artificial neural networks,’ ...

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 ...

Researchers in South Korea at the Korea Institute of Machinery and Materials (KIMM) have reportedly developed a hull-attached sensor-based system for predicting underwater radiated noise (URN), a key ...

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, ...