Detection and removing cosmic ray of space astronomical images based on Artificial Neural Network
Authors/Creators
- 1. Dept. of CS Faculty of Computer and Information, Zagazig University
- 2. Dept. of CS Faculty of Computer and Information Suez University
- 3. Dept. of CS Faculty of Computer and Artificial Intelligence, University of Sadat City
Description
Artificial neural network modelling has proven effective in impressively wide range of scientific
disciplines. To obtain better quality of astronomical images the signatures of transient artifacts
such as cosmic rays, satellite trails and scattered cosmic light must be removed. In this paper we
have developed an Artificial Neural Network (ANN) method which detection cosmic ray and
removing it from the space CCD astronomical images. The method has been trained tested with a
conjugate gradient training algorithm using observational data from an astronomical image. This
method of detecting and removing cosmic ray from astronomical images is quite general. Our
method effectively removes cosmic rays while leaving almost all the image data untouched.
Keywords: Artificial neural network; Cosmic rays; astronomical CCD images