Difference between revisions of "Publications/baillard.05.adass"
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| None = http://www.aspbooks.org/custom/publications/paper/index.phtml?paper_id=3398 |
| None = http://www.aspbooks.org/custom/publications/paper/index.phtml?paper_id=3398 |
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| editors = Carlos Gabriel, Christophe Arviset, Daniel Ponz, Enrique Solano |
| editors = Carlos Gabriel, Christophe Arviset, Daniel Ponz, Enrique Solano |
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| − | | project = Image |
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| − | | urllrde = 200512-ADASS |
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| abstract = We propose an automatic system to classify images of galaxies with varying resolution. Morphologically typing galaxies is a difficult task in particular for distant galaxies convolved by a point-spread function and suffering from a poor signal-to-noise ratio. In the context of the first phase of the project EFIGI (extraction of the idealized shapes of galaxies in imagery), we present the three steps of our software: cleaning, dimensionality reduction and supervised learning. We present preliminary results derived from a subset of 774 galaxies from the Principal Galaxies Catalog and compare them to human classifications made by astronomers. We use g-band images from the Sloan Digital Sky Survey. Finally, we discuss future improvements which we intend to implement before releasing our tool to the community. |
| abstract = We propose an automatic system to classify images of galaxies with varying resolution. Morphologically typing galaxies is a difficult task in particular for distant galaxies convolved by a point-spread function and suffering from a poor signal-to-noise ratio. In the context of the first phase of the project EFIGI (extraction of the idealized shapes of galaxies in imagery), we present the three steps of our software: cleaning, dimensionality reduction and supervised learning. We present preliminary results derived from a subset of 774 galaxies from the Principal Galaxies Catalog and compare them to human classifications made by astronomers. We use g-band images from the Sloan Digital Sky Survey. Finally, we discuss future improvements which we intend to implement before releasing our tool to the community. |
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| lrdekeywords = Image |
| lrdekeywords = Image |
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publisher = <nowiki>{</nowiki>Astronomical Society of the Pacific<nowiki>}</nowiki>, |
publisher = <nowiki>{</nowiki>Astronomical Society of the Pacific<nowiki>}</nowiki>, |
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series = <nowiki>{</nowiki>Conference<nowiki>}</nowiki>, |
series = <nowiki>{</nowiki>Conference<nowiki>}</nowiki>, |
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| − | url = <nowiki>{</nowiki>http://www.aspbooks.org/custom/publications/paper/index.phtml?paper_id=3398<nowiki>}</nowiki> |
+ | url = <nowiki>{</nowiki>http://www.aspbooks.org/custom/publications/paper/index.phtml?paper_id=3398<nowiki>}</nowiki>, |
| − | , |
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editor = <nowiki>{</nowiki>Carlos Gabriel and Christophe Arviset and Daniel Ponz and |
editor = <nowiki>{</nowiki>Carlos Gabriel and Christophe Arviset and Daniel Ponz and |
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Enrique Solano<nowiki>}</nowiki>, |
Enrique Solano<nowiki>}</nowiki>, |
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isbn = <nowiki>{</nowiki>1-58381-219-9<nowiki>}</nowiki>, |
isbn = <nowiki>{</nowiki>1-58381-219-9<nowiki>}</nowiki>, |
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| − | project = <nowiki>{</nowiki>Image<nowiki>}</nowiki>, |
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abstract = <nowiki>{</nowiki>We propose an automatic system to classify images of |
abstract = <nowiki>{</nowiki>We propose an automatic system to classify images of |
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galaxies with varying resolution. Morphologically typing |
galaxies with varying resolution. Morphologically typing |
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Latest revision as of 18:55, 4 January 2018
- Authors
- Anthony Baillard, Emmanuel Bertin, Yannic Mellier, Henry Joy McCracken, Thierry Géraud, Roser Pelló, Jean-François LeBorgne, Pascal Fouqué
- Where
- Astronomical Data Analysis Software and Systems XV
- Type
- inproceedings
- Publisher
- Astronomical Society of the Pacific
- Keywords
- Image
- Date
- 2006-09-20
Abstract
We propose an automatic system to classify images of galaxies with varying resolution. Morphologically typing galaxies is a difficult task in particular for distant galaxies convolved by a point-spread function and suffering from a poor signal-to-noise ratio. In the context of the first phase of the project EFIGI (extraction of the idealized shapes of galaxies in imagery), we present the three steps of our software: cleaning, dimensionality reduction and supervised learning. We present preliminary results derived from a subset of 774 galaxies from the Principal Galaxies Catalog and compare them to human classifications made by astronomers. We use g-band images from the Sloan Digital Sky Survey. Finally, we discuss future improvements which we intend to implement before releasing our tool to the community.
Bibtex (lrde.bib)
@InProceedings{ baillard.05.adass,
author = {Anthony Baillard and Emmanuel Bertin and Yannic Mellier
and Henry Joy {McCracken} and Thierry G\'eraud and Roser
Pell\'o and Jean-Fran\c{c}ois {LeBorgne} and Pascal Fouqu\'e},
title = {Project {EFIGI}: Automatic classification of galaxies},
year = 2005,
booktitle = {Astronomical Data Analysis Software and Systems XV},
volume = 351,
pages = {236--239},
publisher = {Astronomical Society of the Pacific},
series = {Conference},
url = {http://www.aspbooks.org/custom/publications/paper/index.phtml?paper_id=3398},
editor = {Carlos Gabriel and Christophe Arviset and Daniel Ponz and
Enrique Solano},
isbn = {1-58381-219-9},
abstract = {We propose an automatic system to classify images of
galaxies with varying resolution. Morphologically typing
galaxies is a difficult task in particular for distant
galaxies convolved by a point-spread function and suffering
from a poor signal-to-noise ratio. In the context of the
first phase of the project EFIGI (extraction of the
idealized shapes of galaxies in imagery), we present the
three steps of our software: cleaning, dimensionality
reduction and supervised learning. We present preliminary
results derived from a subset of 774 galaxies from the
Principal Galaxies Catalog and compare them to human
classifications made by astronomers. We use g-band images
from the Sloan Digital Sky Survey. Finally, we discuss
future improvements which we intend to implement before
releasing our tool to the community.}
}