CLASSIFICATION OF ASTRONOMICAL IMAGES WITH A NEURAL-NETWORK

被引:8
作者
BERTIN, E
机构
[1] Institut d'Astrophysique, Paris
关键词
D O I
10.1007/BF00990023
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
An application of neural networks for the classification of astronomical images is presented. A neural network classifier feeded with basic image parameters is shown to achieve extremely good results in star/galaxy separation. The applicability to very large digital surveys such as DENIS or 2MASS is discussed.
引用
收藏
页码:49 / 51
页数:3
相关论文
共 4 条
[1]  
Bertin E., UNPUB
[2]   AUTOMATED STAR GALAXY DISCRIMINATION WITH NEURAL NETWORKS [J].
ODEWAHN, SC ;
STOCKWELL, EB ;
PENNINGTON, RL ;
HUMPHREYS, RM ;
ZUMACH, WA .
ASTRONOMICAL JOURNAL, 1992, 103 (01) :318-331
[3]   LEARNING REPRESENTATIONS BY BACK-PROPAGATING ERRORS [J].
RUMELHART, DE ;
HINTON, GE ;
WILLIAMS, RJ .
NATURE, 1986, 323 (6088) :533-536
[4]   MORPHOLOGICAL CLASSIFICATION OF GALAXIES BY ARTIFICIAL NEURAL NETWORKS [J].
STORRIE-LOMBARDI, MC ;
LAHAV, O ;
SODRE, L ;
STORRIE-LOMBARDI, LJ .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 1992, 259 (01) :P8-P12