Characterizing the Statistical Properties of SAR Clutter by Using an Empirical Distribution

Joint Authors

Zhou, Shilin
Gao, Gui
Zou, Huanxin
Shi, Gongtao

Source

International Journal of Antennas and Propagation

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-01-17

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Electronic engineering

Abstract EN

The performances on the applications of synthetic aperture radar (SAR) data strongly depend on the statistical characteristics of the pixel amplitudes or intensities.

In this paper, a new empirical model, called simply ℋ?o, has been proposed to characterize the statistical properties of SAR clutter data over the wide range of homogeneous, heterogeneous, and extremely heterogeneous returns of terrain classes.

A particular case of the ℋ?odistribution is the well-known ?o distributions.

We also derived analytically the estimators of the presented ℋ?o model by applying the “method of log cumulants” (MoLCs).

The performance of the proposed model is verified by using some measured SAR images.

American Psychological Association (APA)

Gao, Gui& Shi, Gongtao& Zou, Huanxin& Zhou, Shilin. 2013. Characterizing the Statistical Properties of SAR Clutter by Using an Empirical Distribution. International Journal of Antennas and Propagation،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-447126

Modern Language Association (MLA)

Gao, Gui…[et al.]. Characterizing the Statistical Properties of SAR Clutter by Using an Empirical Distribution. International Journal of Antennas and Propagation No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-447126

American Medical Association (AMA)

Gao, Gui& Shi, Gongtao& Zou, Huanxin& Zhou, Shilin. Characterizing the Statistical Properties of SAR Clutter by Using an Empirical Distribution. International Journal of Antennas and Propagation. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-447126

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-447126