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Rapid Mapping Using Airborne and Satellite SAR Images

  • Fabio Dell’Acqua
  • Paolo Gamba
Chapter
Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 15)

Abstract

Historically, Synthetic Aperture Radar (SAR) data was made available later than optical data for the purpose of land cover classification (Landsat Legacy Project Website, http://library01.gsfc.nasa.gov/landsat/; NASA Jet Propulsion Laboratory: Missions, http://jpl.nasa.gov/missions/missiondetails.cfm?mission$=$Seasat); in more recent times, the milestone of spaceborne meter resolution was reached by multispectral optical data first (Ikonos; GEOEye Imagery Sources, http://www.geoeye.com/CorpSite/products/imagery-sources/Default.aspx#ikonos), followed a few years later by radar data (COSMO/SkyMed [Caltagirone et al. 2001] and TerraSAR-X [Werninghaus et al. 2004]). As a consequence, more experience has been accumulated on the extraction of cartographic features from optical rather than SAR data, although in some cases radar data is highly recommendable because of frequent cloud cover (Attema et al. 1998) or because the information of interest is better visible at the microwave frequencies rather than at the optical ones (Kurosu et al. 1995).

Keywords

Road Network Synthetic Aperture Radar Synthetic Aperture Radar Image Synthetic Aperture Radar Data Road Extraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors wish to acknowledge the Italian Space Agency and the Italian Civil Protection Department for providing the COSMO/SkyMed image used in the examples of rapid mapping, the German Space Agency (DLR) for providing the TerraSAR-X image, and Dr. Gianni Lisini for performing the processing steps discussed in this chapter.

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Department of ElectronicsUniversity of PaviaPaviaItaly

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