Diachronic Analysis of Fuzzy Objects

Authors:
Tao Cheng;Martien Molenaar
Affiliations:
Joint Laboratory of Geoinformation Science, Chinese University of Hong Kong, Shatin, N.T., Hong Kong tcheng@cuhk.edu.hk;International Institute for Aerospace Survey and Earth Sciences – ITC, P.O. Box 6, 7500 AA Enschede, The Netherlands molenaar@itc.nl
Venue:
Geoinformatica
Year:
1999

Citing 4
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Abstract

This paper presents a method to monitor the behavior of fuzzy spatial objects through time. The method consists of two steps. Firstly the spatial extents of objects are determined at several sequential epochs. The method explains the case where objects are not crisply defined, so that the identified spatial extents will be fuzzy. Secondly, to detect dynamic changes in fuzzy objects, a method was proposed to identify objects and their state transitions from fuzzy spatial extents (regions) at different epochs. Similarity indicators of fuzzy regions were calculated based upon overlap between regions at consecutive epochs. Different combinations of indicator values imply different relationships between regions. Regions that are very similar represent the consecutive states of one object. By linking the regions, the historic lifelines of objects are built automatically. Then the relationship between regions became the relationship or interactions between objects, which were expressed in terms of processes, such as shift, merge or split. This approach will be illustrated by means of a coastal monitoring study of a barrier island in The Netherlands.