دوره 16، شماره 2 - ( 4-1401 )
جلد 16 شماره 2 صفحات 130-121 |
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Bakhtiar Shohani J, Hajimahmoodzadeh M, Fallah H. Double-Star Detection Using Convolutional Neural Network in Atmospheric Turbulence. IJOP 2022; 16 (2) :121-130
URL: http://ijop.ir/article-1-512-fa.html
URL: http://ijop.ir/article-1-512-fa.html
Double-Star Detection Using Convolutional Neural Network in Atmospheric Turbulence. . 1401; 16 (2) :121-130
چکیده: (1425 مشاهده)
In this paper, we investigate the usage of machine learning in the detection and recognition of double stars. To do this, numerous images including one star and double stars are simulated. Then, 100 terms of Zernike expansion with random coefficients are considered as aberrations to impose on the aforementioned images. Also, a telescope with a specific aperture is simulated. In this work, two kinds of intensity are used, one is in-focus and the other is out-of-focus of the telescope. After these simulations, a convolutional neural network (CNN) is configured and designed and its input is simulated intensity patterns. After learning the network, we could recognize double stars at severe turbulence without needing phase correction with a very high accuracy level of more than 98%.
نوع مطالعه: پژوهشي |
موضوع مقاله:
اپتیک اتمسفر و دریا
دریافت: 1401/7/3 | ویرایش نهایی: 1402/3/30 | پذیرش: 1401/9/1 | انتشار: 1402/3/29
دریافت: 1401/7/3 | ویرایش نهایی: 1402/3/30 | پذیرش: 1401/9/1 | انتشار: 1402/3/29
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