Astronomical Image Superposition Using an New Improved Particle Swarm Optimization
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abstract
2016 IEEE. Lots of interesting transients have been found using image subtraction techniques for decades as well as time-domain astronomy has been redefined through so many synoptic sky surveys. A key procedure before subtraction is the image superposition which should be as precise as pixel-to-pixel. In this paper, we raise a new method utilizing an new improved particle swarm optimization to successfully solve this transformation problem. The results show that our particle swarm optimization model could efficiently obtain solutions and reduce the amount of iteration.
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2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
