Discrete Dynamics in Nature and Society
Volume 2004 (2004), Issue 2, Pages 287-300
doi:10.1155/S1026022604402027
Summaries of certain spatial patterns retrieved from multidate remote-sensing data
Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia
Received 5 February 2004
Copyright © 2004 Hema Nair. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This paper presents an approach to describe patterns in
remote-sensed images utilising fuzzy logic. The truth of a
linguistic proposition such as “Y is F” can be determined for
each pattern characterised by a tuple in the database, where Y is
the pattern and F is a summary that applies to that pattern.
This proposition is formulated in terms of primary quantitative
measures, such as area, length, perimeter, and so forth, of the
pattern. Fuzzy descriptions of linguistic summaries help to
evaluate the degree to which a summary describes a pattern or
object in the database. Techniques, such as clustering and genetic
algorithms, are used to mine images. Image mining is a relatively
new area of research. It is used to extract patterns from
multidated satellite images of a geographic area.