statistical modeling of sar images a survey一项调查统计建模的sar图像.pdf

Sensors 2010, 10, 775-795; doi:10.3390/s100100775 OPEN ACCESS sensors ISSN 1424-8220 /journal/sensors Review Statistical Modeling of SAR Images: A Survey Gui Gao National University of Defence Technology, Changsha 410073, China; E-Mail: dellar@126.com; Tel.: +86-0731 Fax: +86-0731 Received: 23 November 2009; in revised form: 5 January 2010 / Accepted: 6 January 2010 / Published: 21 January 2010 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. Keywords: synthetic aperture radar (SAR) images; statisti