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29 October 2007Geospatial intelligence about urban areas using SAR
Radar satellites are important for geospatial intelligence about urban areas and urban situational awareness, since these
satellites can collect data at day and night and independently of weather conditions ensuring that the information can be
obtained at regular intervals and in time. For this purpose we have applied change detection techniques developed at
TNO to Radarsat I fine beam imagery of various dates to find changes in Baghdad during and after the war in 2003.
A drawback of SAR imagery is the poor ability to recognize the detected changes in the scene. In this paper we present a
workflow for the characterization and classification of changes detected in SAR imagery. We show that these changes
can be characterized using complementary data and context information. For this purpose we have used a digital surface
model from Ikonos stereo imagery that contains building heights. We also have used so-called temporal features
extracted from a multi-temporal data-set of Radarsat data to select the changes and to detect activity between 2003 and
2007, which has been classified with high-resolution optical data.
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A. C. van den Broek, R. J. Dekker, "Geospatial intelligence about urban areas using SAR," Proc. SPIE 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, 67490T (29 October 2007); https://doi.org/10.1117/12.738486