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1 Computer Assisted Methods in Engineering and Science

1 2023

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Convolutional neural networks in the detection of astronomical objects from the Messier catalog

Beluch Witold, Śliwa Paweł

Computer Assisted Methods in Engineering and Science

2023

Vol. 30, no. 4

461--479

This paper explores the application of convolutional neural networks in the field of amateur astronomy. The authors have employed the available astronomical datasets to develop a detector for identifying astronomical objects from the Messier catalog. A concept framework for creating such a detector for astronomical objects using artificial intelligence tools in the form of a detector based on convolutional neural networks is presented. Augmentation and pre-processing procedures have been used to extend the feature distribution in the training set. Examples confirming the effectiveness of the proposed detector of astronomical objects are presented.