Share Email Print

Proceedings Paper

Ontological concept extraction based on image understanding and describing of remote sensing domain
Author(s): Liang Zhong; Hongchao Ma; Pengfei Liu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

When using ontological theory to set up remote sensing image knowledge system, the majority of scholars by now regard ontology as logical theory for defining the object, attribution relation, affair and process of remote sending knowledge system. But understanding and describing the real world makes that logical theory be unable to unify concepts with the same practical meaning from different concept models, so bring grid service system drawbacks in knowledge delivering and sharing. To solve that issue requires further improvement of the defining method and model for concepts in ontology. This paper presents a neural network remote sensing image ontological concept extraction model based on image understanding and describing, utilize the theory of bionic optimization, and adopts the combination of artificial neural network with the rule-based knowledge Recognition System. Realize the knowledge delivering and sharing among different information systems or make the knowledge delivering and sharing between client and system possible and effective.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67882M (15 November 2007); doi: 10.1117/12.747590
Show Author Affiliations
Liang Zhong, Wuhan Univ. (China)
Hongchao Ma, Wuhan Univ. (China)
Pengfei Liu, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6788:
MIPPR 2007: Pattern Recognition and Computer Vision
S. J. Maybank; Mingyue Ding; F. Wahl; Yaoting Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?