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Statistical Modeling of Single-Channel SAR Images

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Characterization of SAR Clutter and Its Applications to Land and Ocean Observations

Abstract

There has been a growing interest in SAR image interpretation for a variety of civilian and military applications, such as terrain classification, land or sea monitoring, target detection and recognition, etc. Presently, one of major strategies of SAR image processing is to use the classical methods of statistical pattern recognition, where it is crucial to develop precise models for the statistics of the pixel amplitudes or intensities (Oliver and Quegan in Understanding Synthetic Aperture Radar Images. Artech House, Norwood 1998, [1]).

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Notes

  1. 1.

    Throughout this chapter, the estimates of parameters of the \( {\mathcal{G}}^{0} \) distribution adopt the MoLC, the detailed description is given by Tison et al. [18].

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Authors and Affiliations

  1. National University of Defense Technology, Changsha, China

    Gui Gao

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  1. Gui Gao
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Correspondence to Gui Gao .

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Gao, G. (2019). Statistical Modeling of Single-Channel SAR Images. In: Characterization of SAR Clutter and Its Applications to Land and Ocean Observations. Springer, Singapore. https://doi.org/10.1007/978-981-13-1020-1_2

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  • DOI: https://doi.org/10.1007/978-981-13-1020-1_2

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  • Online ISBN: 978-981-13-1020-1

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