descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2015 English Publisher:Springer International Publishing

Authors: Michael H. F. Wilkinson; Ugo Moschini; Scott Trager; Paul Teeninga;

doi: 10.1007/978-3-319-18720-4_14

handle: 11370/58d1125b-4dfb-4097-a5ae-80d930a605c6

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-Tree-based 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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University of Groningen
Netherlands

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