Radar-coding and Geocoding Look Up Tables for the Fusion of GIS Data and SAR images in Mountain Areas

نویسندگان

  • Ivan Pétillot
  • Emmanuel Trouvé
  • Philippe Bolon
  • Andreea Julea
  • Michel Gay
  • Jean-Michel Vanpé
چکیده

For merging Synthetic Aperture Radar (SAR) with georeferenced data, one usually uses processing software to orthorectify the SAR images in order to add them in a GIS. Nevertheless, this projection involves an important alteration of the information of SAR images and are often specific to some particular SAR sources. Moreover, the transformation of radarcoding data from a GIS into the radar geometry allows the use of different information sources to improve the analysis of SAR images and the result interpretation. In this paper, we propose a simple and efficient method to build two couples of Look Up Tables (LUT) allowing to code data in ground or radar geometry. This approach is applied to a high relief area in the Alps, where satellite and airborne SAR images are used for glacier evolution monitoring.

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تاریخ انتشار 2011