LINGUISTIC DESCRIPTION OF PATTERNS FROM MINED IMAGES

Hema Nair, Ian Chai

2004

Abstract

The objective of this paper is to propose an approach to describe patterns in remote-sensed images utilising fuzzy logic. The general form of a linguistically quantified proposition is “QY’s are F” where Q is a fuzzy linguistic quantifier, Y is a class of objects and F is a summary that applies to that class. The truth of such a proposition can be determined for each object characterised by a tuple in the database. Fuzzy descriptions of linguistic summaries help to evaluate the degree to which a summary describes an object or pattern in the image. A genetic algorithm technique is used to obtain optimal solutions that describe all the objects or patterns in the database. Image mining is used to extract unusual patterns from multi-dated satellite images of a geographic area.

Paper Citation

in Harvard Style

Nair H. and Chai I. (2004). LINGUISTIC DESCRIPTION OF PATTERNS FROM MINED IMAGES . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 77-83. DOI: 10.5220/0002595900770083

in Bibtex Style

@conference{iceis04,
author={Hema Nair and Ian Chai},
title={LINGUISTIC DESCRIPTION OF PATTERNS FROM MINED IMAGES},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={77-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002595900770083},
isbn={972-8865-00-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - LINGUISTIC DESCRIPTION OF PATTERNS FROM MINED IMAGES
SN - 972-8865-00-7
AU - Nair H.
AU - Chai I.
PY - 2004
SP - 77
EP - 83
DO - 10.5220/0002595900770083