A Convolutional Neural Network–Based Approach for Detecting Solar System Objects in Wide-field Imaging

A Convolutional Neural Network–Based Approach for Detecting Solar System Objects in Wide-field Imaging

We present a deep learning method that utilizes convolutional neural networks (CNNs) to discover trans-Neptunian objects (TNOs) in wide-field survey imaging data. Our CNNs were trained using artificial sources planted into a time series of 44 205 s CFHT MegaCam large-format mosaic images. We extract...

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Bibliographic Details
Main Authors: Aram Lee, J. J. Kavelaars, Hossen Teimoorinia, Wesley Fraser, Edward Ashton
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Planetary Science Journal
Subjects:
Solar system
Kuiper belt
Detection
Neural networks
Online Access:https://doi.org/10.3847/PSJ/add409
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https://doi.org/10.3847/PSJ/add409

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