scholarly journals Self-supervised Learning for Astronomical Image Classification

Author(s):  
Ana Martinazzo ◽  
Mateus Espadoto ◽  
Nina S. T. Hirata
1994 ◽  
Vol 161 ◽  
pp. 235-241
Author(s):  
S.C. Odewahn

The use of neural network pattern recognition techniques in the field of astronomy is reviewed. In assessing the quality of image recognition derived from this method particular attention is given to the problem of star/galaxy discrimination in large digital sky surveys. A two color survey of 9 fields of the first epoch Palomar Sky Survey, centered on the North Galactic Pole, has been performed with the Minnesota Automated Plate Scanner. A set of neural network image classifiers are used to automatically perform star/galaxy discrimination. We assess the efficiency of image classification and sample completeness through comparisons with a variety of independent studies of the NGP area.


2020 ◽  
Vol 32 (12) ◽  
pp. 2389-2400 ◽  
Author(s):  
Feiping Nie ◽  
Lai Tian ◽  
Rong Wang ◽  
Xuelong Li

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