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Figure 5. A Self Organizing Map showing different sources for a set of astronomical images modeled by a deep learning model. The model is capable of recognizing images with bad pixels (e.g., the sources similar to node (1, 12)), images with a bad focus problem (e.g., node (2, 1)) or images with satellite tracks (e.g., node (23, 1)).
3.2. SATCON1 recommendation 2: PassPredict
Support development of a software application for observation planning available to the general astronomy community that predicts the time and projection of satellite transits through an image, given celestial
SATCON2 Algorithms Working Group Report
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