Proposal of constellation image generation and constellation identification method based on star map data

Abstract

In recent years, recognition technology using artificial intelligence has been attracting attention against the background of the rapid development of machine learning. Especially in the field of image recognition, research results have been actively reported, and the advent of neural networks has made it possible to recognize objects with high accuracy in a wide range of tasks. On the other hand, in astrophotography, it is difficult to draw a line between the target celestial body and other areas, and the state of the stars differs greatly depending on the photographer and the equipment, so identifying the constellations in astrophotography is a very difficult task even with artificial intelligence. In addition, the lack of datasets on astrophotography necessary for learning artificial intelligence is one of the factors that make it difficult to identify constellations in astrophotography. In this study, we propose a method to generate constellation images from star map data and use them to identify constellations in astrophotography. The effectiveness of the proposed method has been confirmed by numerical experiments.