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26 October 2011 SAR image post-processing for the estimation of fractal parameters
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In this paper a fractal based processing for the analysis of SAR images of natural surfaces is presented. Its definition is based on a complete direct imaging model developed by the authors. The application of this innovative algorithm to SAR images makes possible to obtain complete maps of the two key parameters of a fractal scene: the fractal dimension and the increment standard deviation. The fractal parameters extraction is based on the estimation of the power spectral density of the SAR amplitude image. From a theoretic point of view, the attention is focused on the retrieving procedure of the increment standard deviation, here presented for the first time. In the last section of the paper, the application of the introduced processing to high resolution SAR images is presented, with the relevant maps of the fractal dimension and of the increment standard deviation.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gerardo Di Martino, Daniele Riccio, Giuseppe Ruello, and Ivana Zinno "SAR image post-processing for the estimation of fractal parameters", Proc. SPIE 8179, SAR Image Analysis, Modeling, and Techniques XI, 81790Z (26 October 2011);


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