Improving background estimation for faint astronomical object detection

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

doi:10.1109/ICIP.2015.7350959

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Image Processing (ICIP), 2015 IEEE International Conference on
Publisher	IEEE (The Institute of Electrical and Electronics Engineers)
Pages	1046-1050
Number of pages	5
ISBN (Print)	978-1-4799-8339-1
DOIs	https://doi.org/10.1109/ICIP.2015.7350959
Publication status	Published - 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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@inproceedings{0d73ad9a6154491299a02924f0353846,

title = "Improving background estimation for faint astronomical object detection",

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.",

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",

author = "Paul Teeninga and Ugo Moschini and Trager, {Scott C.} and Wilkinson, {Michael H. F.}",

year = "2015",

month = sep,

day = "1",

doi = "10.1109/ICIP.2015.7350959",

language = "English",

isbn = "978-1-4799-8339-1",

pages = "1046--1050",

booktitle = "Image Processing (ICIP), 2015 IEEE International Conference on",

publisher = "IEEE (The Institute of Electrical and Electronics Engineers)",

}

Improving background estimation for faint astronomical object detection. / Teeninga, Paul; Moschini, Ugo; Trager, Scott C. et al.
Image Processing (ICIP), 2015 IEEE International Conference on. IEEE (The Institute of Electrical and Electronics Engineers), 2015. p. 1046-1050.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Improving background estimation for faint astronomical object detection

AU - Teeninga, Paul

AU - Moschini, Ugo

AU - Trager, Scott C.

AU - Wilkinson, Michael H. F.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - 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.

AB - 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.

KW - astronomy

KW - object detection

KW - SEx-tractor

KW - astronomical object detection

KW - automated extraction

KW - background estimation method

KW - faint extended structures

KW - optical surveys

KW - source extractor

KW - Analytical models

KW - Estimation

KW - Interpolation

KW - Shape

KW - Software

KW - Standards

U2 - 10.1109/ICIP.2015.7350959

DO - 10.1109/ICIP.2015.7350959

M3 - Conference contribution

SN - 978-1-4799-8339-1

SP - 1046

EP - 1050

BT - Image Processing (ICIP), 2015 IEEE International Conference on

PB - IEEE (The Institute of Electrical and Electronics Engineers)

ER -

Improving background estimation for faint astronomical object detection

Abstract

Keywords

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