Statistical Modeling of SAR Images: A SurveyReport as inadecuate




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National University of Defence Technology, Changsha 410073, China





Abstract Statistical modeling is essential to SAR Synthetic Aperture Radar image interpretation. It aims to describe SAR images through statistical methods and reveal the characteristics of these images. Moreover, statistical modeling can provide a technical support for a comprehensive understanding of terrain scattering mechanism, which helps to develop algorithms for effective image interpretation and creditable image simulation. Numerous statistical models have been developed to describe SAR image data, and the purpose of this paper is to categorize and evaluate these models. We first summarize the development history and the current researching state of statistical modeling, then different SAR image models developed from the product model are mainly discussed in detail. Relevant issues are also discussed. Several promising directions for future research are concluded at last. View Full-Text

Keywords: synthetic aperture radar SAR images; statistical models; parameter estimation; probability density function PDF; the product model synthetic aperture radar SAR images; statistical models; parameter estimation; probability density function PDF; the product model





Author: Gui Gao

Source: http://mdpi.com/



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