A COGNITIVE SYSTEM FOR ASTRONOMICAL IMAGE INTERPRETATION

被引：2

作者：

KURTZ, MJ

MUSSIO, P

OSSORIO, PG

机构：

[1] UNIV MILAN,DEPT PHYS,I-20133 MILAN,ITALY

[2] LINGUIST RES INST,BOULDER,CO

[3] UNIV COLORADO,DEPT PSYCHOL,BOULDER,CO 80303

来源：

PATTERN RECOGNITION LETTERS | 1990年 / 11卷 / 07期

关键词：

Astronomical object classification; cognitive systems;

D O I：

10.1016/0167-8655(90)90087-I

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The classification of galaxies by morphological type is an important problem of astrophysics. In this paper we propose a new methodology for automating this problem. We present a dynamic network which merges three separate technologies: statistical model fitting, from astronomy; syntactic descriptors, from pattern recognition; and synthetic human judgment, from descriptive psychology. © 1990.

引用

页码：507 / 515

页数：9

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