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.
Conference Committee Involvement (7)
Remote Sensing Technologies and Applications in Urban Environments IX
16 September 2024 | Edinburgh, United Kingdom
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII
15 September 2008 | Cardiff, Wales, United Kingdom
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology
17 September 2007 | Florence, Italy
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI
13 September 2006 | Stockholm, Sweden
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V
19 September 2005 | Bruges, Belgium
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IV
14 September 2004 | Maspalomas, Canary Islands, Spain
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III
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