Title :
Fast Approximate Matching of Astronomical Objects
Author :
Fu, Bin ; Fink, Eugene ; Gibson, Garth ; Carbonell, Jaime
Author_Institution :
Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
When astronomers analyze sky images, they need to identify the newly observed celestial objects in the catalog of known objects. We have developed a technique for indexing catalogs, which supports fast retrieval of closely matching catalog objects for every object in new images. It allows processing of a sky image in less than a second, and it scales to catalogs with billions of objects.
Keywords :
astronomical image processing; image matching; astronomers; catalog indexing; fast approximate astronomical object matching; newly observed celestial objects; sky images; Catalogs; Indexing; Loading; Object recognition; Search problems; Sorting; Strips; Large-scale data; astrophysics application; eScience; indexing;
Conference_Titel :
Cluster Computing Workshops (CLUSTER WORKSHOPS), 2012 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2893-7
DOI :
10.1109/ClusterW.2012.38
