A robust morphological classification of high-redshift galaxies using support vector machines on seeing limited images: I. Method description

被引：0

作者：

Huertas-Company, M. ^{[1
,4
]}

Rouan, D. ^{[1
]}

Tasca, L. ^{[3
]}

Soucail, G. ^{[2
]}

Le Fèvre, O. ^{[3
]}

机构：

[1] LESIA-Paris Observatory, 5 place Jules Janssen, 92195 Meudon, France

[2] Laboratoire d'Astrophysique de Toulouse-Tarbes, CNRS-UMR 5572, Université Paul Sabatier Toulouse III, 14 avenue Belin, 31400 Toulouse, France

[3] LAM, Marseille Observatory, Les Trois Lucs, BP 8, 13376 Marseille Cedex 12, France

[4] IAA-C, Camino Bajo de Huétor, 50, 18008 Granada, Spain

来源：

Astronomy and Astrophysics | 1600年 / 478卷 / 03期

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摘要：

Journal article (JA)

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页码：971 / 980

共 7 条

[1] A robust morphological classification of high-redshift galaxies using support vector machines on seeing limited images
Huertas-Company, M.
Tasca, L.
Rouan, D.
Pelat, D.
Kneib, J.P.
Le Fèvre, O.
Capak, P.
Kartaltepe, J.
Koekemoer, A.
McCracken, H.J.
Salvato, M.
Sanders, D.B.
Willott, C.
Astronomy and Astrophysics, 2009, 497 (03): : 743 - 753
[2] A robust morphological classification of high-redshift galaxies using support vector machines on seeing limited images
Huertas-Company, M.
Rouan, D.
Tasca, L.
Soucail, G.
Le Fevre, O.
ASTRONOMY & ASTROPHYSICS, 2008, 478 (03) : 971 - 980
[3] A robust morphological classification of high-redshift galaxies using support vector machines on seeing limited images II. Quantifying morphological k-correction in the COSMOS field at 1 < z < 2: Ks band vs. I band
Huertas-Company, M.
Tasca, L.
Rouan, D.
Pelat, D.
Kneib, J. P.
Le Fevre, O.
Capak, P.
Kartaltepe, J.
Koekemoer, A.
McCracken, H. J.
Salvato, M.
Sanders, D. B.
Willott, C.
ASTRONOMY & ASTROPHYSICS, 2009, 497 (03) : 743 - 753
[4] Morphological classification of medical images using nonlinear support vector machines
Davatzikos, C
Shen, DG
Lao, ZQ
Xue, Z
Karacali, B
2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 and 2, 2004, : 587 - 590
[5] Spectral classification of emission-line galaxies from the Sloan Digital Sky Survey I. An improved classification for high-redshift galaxies
Lamareille, F.
ASTRONOMY & ASTROPHYSICS, 2010, 509
[6] Multi-Channel Morphological Profiles for Classification of Hyperspectral Images Using Support Vector Machines
Plaza, Javier
Plaza, Antonio J.
Barra, Cristina
SENSORS, 2009, 9 (01) : 196 - 218
[7] Application of Support Vector Machines for Landuse Classification Using High-Resolution RapidEye Images: A Sensitivity Analysis
Ustuner, Mustafa
Sanli, Fusun Balik
Dixon, Barnali
EUROPEAN JOURNAL OF REMOTE SENSING, 2015, 48 : 403 - 422

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