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Proceedings Paper

Spatio-temporal change detection and web-based distributed computing tools
Author(s): George A. Lampropoulos; George Gigli; Adina Bardas; Costas Armenakis; Brian Low
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Paper Abstract

In this paper we present a distributed processing system that will be used for manual and/or automated change detection using data from databases and from online sensors. The automated change detection algorithm described herein is based on a method developed by Armenakis et al. This technique is applied on two level image classification. Its extension to multiple level classification and change detection is also being discussed. The paper presents two other change detection methodologies that are based on the Principal Component Analysis and wavelet techniques. Finally, it discusses the effect of matched filters for improving the change detection performance. Experimental results are provided using RADARSAT images which have been registered with the automated registration algorithm of AUG Signals that is currently available under the distributed procesing system www.signalfusion.com.

Paper Details

Date Published: 19 November 2003
PDF: 12 pages
Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); doi: 10.1117/12.506170
Show Author Affiliations
George A. Lampropoulos, A.U.G. Signals Ltd. (Canada)
George Gigli, A.U.G. Signals Ltd. (Canada)
Adina Bardas, A.U.G. Signals Ltd. (Canada)
Costas Armenakis, Natural Resources Canada (Canada)
Brian Low, Natural Resources Canada (Canada)


Published in SPIE Proceedings Vol. 5203:
Applications of Digital Image Processing XXVI
Andrew G. Tescher, Editor(s)

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