Detection of asteroid trails in Hubble Space Telescope images using Deep Learning

We present an application of Deep Learning for the image recognition of asteroid trails in single-exposure photos taken by the Hubble Space Telescope. Using algorithms based on multi-layered deep Convolutional Neural Networks, we report accuracies of above 80% on the validation set. Our project was...

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Bibliographische Detailangaben

Hauptverfasser:	Parfeni, Andrei A, Caramete, Laurentiu I, Dobre, Andreea M, Bach, Nguyen Tran
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Physics - Earth and Planetary Astrophysics Physics - Instrumentation and Methods for Astrophysics
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