This paper proposes a novel method for motion multi-object matching and position estimation in the absence of salient features based on unsynchronized image sequences. Our proposed method aims to ...

A team of Johns Hopkins researchers has developed a cutting-edge data science approach capable of matching observations of celestial objects taken across multiple telescope surveys, overcoming a ...

We are living in the age of information, and this sentiment also pertains to astronomy. Quite a few telescopes are trained to scan large sections of our sky, cataloging and imaging millions, even ...