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Sinopsis
Revision with unchanged content. In the past few years, pipelines providing astronomical data have been becoming increasingly important. The wide use of robotic telescopes has provided significant discoveries, and sky survey projects such as SDSS and the future LSST are now considered among the premier projects in the field astronomy. The huge amount of data produced by these pipelines raises the need for automatic processing. Astronomical pipelines introduce several well-defined problems, which challenge designers and operators of robotic telescopes and sky surveys. These include astronomical image compression, cosmic-ray hit rejection, transient detection, meteor triangulation, and association of point sources with their corresponding known stellar objects. This book describes applied soft computing algorithms that provide new or improved solutions to these growing problems in the field automated astronomical data processing. The algorithms discussed in this book enable automatic analysis of vast astronomical pipelines, and allow effective mining of the data for fundamental astronomical discoveries such as optical transients and stellar variability.
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Revision with unchanged content. In the past few years, pipelines providing astronomical data have been becoming increasingly important. The wide use of robotic telescopes has provided significant discoveries, and sky survey projects such as SDSS and the future LSST are now considered among the premier projects in the field astronomy. The huge amount of data produced by these pipelines raises the need for automatic processing. Astronomical pipelines introduce several well-defined problems, which challenge designers and operators of robotic telescopes and sky surveys. These include astronomical image compression, cosmic-ray hit rejection, transient detection, meteor triangulation, and association of point sources with their corresponding known stellar objects. This book describes applied soft computing algorithms that provide new or improved solutions to these growing problems in the field automated astronomical data processing. The algorithms discussed in this book enable automatic analysis of vast astronomical pipelines, and allow effective mining of the data for fundamental astronomical discoveries such as optical transients and stellar variability.
Biografía del autor
Dr. Lior Shamir: Completed his PhD in Computational Science at Michigan Technological University / Department of Physics. Research Fellow at the National Institute on Aging/National Institutes of Health, Baltimore, MD.
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Astronomical Image Processing
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AV Akademikerverlag, 2012
ISBN 10: 3639439813
ISBN 13: 9783639439816
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shamir LiorDr. Lior Shamir: Completed his PhD in Computational Science at Michigan Technological University / Department of Physics. Research Fellow at the National Institute on Aging/National Institutes of Health, Baltimore, MD. Nº de ref. del artículo: 4988187
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Astronomical Image Processing
Publicado por
AV Akademikerverlag Jul 2012, 2012
ISBN 10: 3639439813
ISBN 13: 9783639439816
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. In the past few years, pipelines providing astronomical data have been becoming increasingly important. The wide use of robotic telescopes has provided significant discoveries, and sky survey projects such as SDSS and the future LSST are now considered among the premier projects in the field astronomy. The huge amount of data produced by these pipelines raises the need for automatic processing. Astronomical pipelines introduce several well-defined problems, which challenge designers and operators of robotic telescopes and sky surveys. These include astronomical image compression, cosmic-ray hit rejection, transient detection, meteor triangulation, and association of point sources with their corresponding known stellar objects. This book describes applied soft computing algorithms that provide new or improved solutions to these growing problems in the field automated astronomical data processing. The algorithms discussed in this book enable automatic analysis of vast astronomical pipelines, and allow effective mining of the data for fundamental astronomical discoveries such as optical transients and stellar variability. 92 pp. Englisch. Nº de ref. del artículo: 9783639439816
Cantidad disponible: 2 disponibles
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Astronomical Image Processing : A Soft Computing Approach
Publicado por
AV Akademikerverlag, 2012
ISBN 10: 3639439813
ISBN 13: 9783639439816
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. In the past few years, pipelines providing astronomical data have been becoming increasingly important. The wide use of robotic telescopes has provided significant discoveries, and sky survey projects such as SDSS and the future LSST are now considered among the premier projects in the field astronomy. The huge amount of data produced by these pipelines raises the need for automatic processing. Astronomical pipelines introduce several well-defined problems, which challenge designers and operators of robotic telescopes and sky surveys. These include astronomical image compression, cosmic-ray hit rejection, transient detection, meteor triangulation, and association of point sources with their corresponding known stellar objects. This book describes applied soft computing algorithms that provide new or improved solutions to these growing problems in the field automated astronomical data processing. The algorithms discussed in this book enable automatic analysis of vast astronomical pipelines, and allow effective mining of the data for fundamental astronomical discoveries such as optical transients and stellar variability. Nº de ref. del artículo: 9783639439816
Cantidad disponible: 1 disponibles
Imagen del vendedor
Astronomical Image Processing
Publicado por
AV Akademikerverlag Jul 2012, 2012
ISBN 10: 3639439813
ISBN 13: 9783639439816
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Revision with unchanged content. In the past few years, pipelines providing astronomical data have been becoming increasingly important. The wide use of robotic telescopes has provided significant discoveries, and sky survey projects such as SDSS and the future LSST are now considered among the premier projects in the field astronomy. The huge amount of data produced by these pipelines raises the need for automatic processing. Astronomical pipelines introduce several well-defined problems, which challenge designers and operators of robotic telescopes and sky surveys. These include astronomical image compression, cosmic-ray hit rejection, transient detection, meteor triangulation, and association of point sources with their corresponding known stellar objects. This book describes applied soft computing algorithms that provide new or improved solutions to these growing problems in the field automated astronomical data processing. The algorithms discussed in this book enable automatic analysis of vast astronomical pipelines, and allow effective mining of the data for fundamental astronomical discoveries such as optical transients and stellar variability.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Nº de ref. del artículo: 9783639439816
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