Improved detection of faint extended astronomical objects through statistical attribute filtering

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Abstract

In astronomy, images are produced by sky surveys containing a large number of objects. SExtractor is a widely used program for automated source extraction and cataloguing but struggles with faint extended sources. Using SExtractor as a reference, the paper describes an improvement of a previous method proposed by the authors. It is a Max-Treebased method for extraction of faint extended sources without stronger image smoothing. Node filtering depends on the noise distribution of a statistic calculated from attributes. Run times are in the same order.

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Teeninga, P., Moschini, U., Trager, S. C., & Wilkinson, M. H. F. (2015). Improved detection of faint extended astronomical objects through statistical attribute filtering. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9082, 157–168. https://doi.org/10.1007/978-3-319-18720-4_14

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