By Topic

Multitemporal geospatial query grouping using correlation signatures

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
G. Mountrakis ; Dept. of Spatial Inf. Sci. & Eng., Maine Univ., Orano, ME, USA ; P. Agouris ; A. Stefanidis

With recent advances in temporal and spatiotemporal databases, user demands are becoming more complex. As a result, simple queries are replaced by complex multitemporal query scenarios. In this paper we propose a novel image-based approach to temporally group together multidimensional geospatial queries. Correlation signatures act as a powerful raster mapping that visualizes multi-dimensional similarity of multiple queries and expresses it in a temporally referenced manner. Convolution of our raster representation with discrete weight masks can express arbitrary temporal preference (e.g. relative, cyclic queries). Furthermore, our multiquery grouping in the temporal domain can also support temporal relations between queries (e.g. alternative scenarios, AND/OR operators). By transforming the problem in the image domain, the expressiveness of our method allows an intuitive visual interaction to assist nonexpert database users.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:3 )

Date of Conference:

14-17 Sept. 2003