Improving background estimation for faint astronomical object detection

Paul Teeninga, Ugo Moschini, Scott C. Trager, Michael H. F. Wilkinson

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Estimation of the background is an essential step in automated extraction of faint, extended objects from large-scale, optical surveys in astronomy. In this paper we present an improvement on the background estimation method of a commonly used tool in this field: Source Extractor (SEx-tractor). We show that the original method suffers from bias caused by presence of extended sources, and present an alternative which greatly reduces this effect, leading to much better preservation of faint extended structures.
Original languageEnglish
Title of host publicationImage Processing (ICIP), 2015 IEEE International Conference on
PublisherIEEE (The Institute of Electrical and Electronics Engineers)
Pages1046-1050
Number of pages5
ISBN (Print)978-1-4799-8339-1
DOIs
Publication statusPublished - 1-Sept-2015

Keywords

  • astronomy
  • object detection
  • SEx-tractor
  • astronomical object detection
  • automated extraction
  • background estimation method
  • faint extended structures
  • optical surveys
  • source extractor
  • Analytical models
  • Estimation
  • Interpolation
  • Shape
  • Software
  • Standards

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