@inproceedings{58d1125b4dfb4097a5ae80d930a605c6,
title = "Improved detection of faint extended astronomical objects through statistical attribute filtering",
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.",
author = "Paul Teeninga and Ugo Moschini and Scott Trager and Michael Wilkinson",
year = "2015",
doi = "10.1007/978-3-319-18720-4_14",
language = "English",
series = "Lecture Notes in Computer Science ",
publisher = "Springer",
pages = "157--168",
editor = "Benediktsson, {J{\'o}n Atli } and Chanussot, {Jocelyn } and { Najman}, {Laurent } and Talbot, {Hugues }",
booktitle = "Mathematical Morphology and Its Applications to Signal and Image Processing",
edition = "LNCS",
note = "12th International Symposium, ISMM 2015 Reykjavik, Iceland, May 27–29, 2015 Proceedings ; Conference date: 27-05-2015 Through 29-05-2015",
}