Spatio-temporal change detection and web-based distributed computing tools

George A. Lampropoulos; George Gigli; Adina Bardas; Costas Armenakis; Brian Low

doi:10.1117/12.506170

19 November 2003 Spatio-temporal change detection and web-based distributed computing tools

George A. Lampropoulos, George Gigli, Adina Bardas, Costas Armenakis, Brian Low

Proceedings Volume 5203, Applications of Digital Image Processing XXVI; (2003) https://doi.org/10.1117/12.506170
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

George A. Lampropoulos, George Gigli, Adina Bardas, Costas Armenakis, and Brian Low "Spatio-temporal change detection and web-based distributed computing tools", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.506170

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