Characterizing the Statistical Properties of SAR Clutter by Using an Empirical Distribution. (17th January 2013)

• Record Type: Journal Article
• Authors: Gao, Gui; Shi, Gongtao; Zou, Huanxin; Zhou, Shilin
• Other Names: Li Deren Academic Editor.
• Is Part Of: International journal of antennas and propagation. Volume 2013(2013)
• Publication Date: 2013-01-17
• Subjects: Electronic apparatus and appliances -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Antennes (Électronique); Ondes radioélectriques -- Propagation; Antennas (Electronics); Electronic apparatus and appliances; Radio wave propagation; Electronic journals; Periodicals; 621.382405
• DOI: 10.1155/2013/109145
• Languages: English
• ISSNs: 1687-5869

Abstract

Abstract : 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 𝒢 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 𝒢 o distribution is the well-known 𝒢 o distributions. We also derived analytically the estimators of the presented ℋ 𝒢 o model by applying the "method of log cumulants" (MoLCs). The performance of the proposed model is verified by using some measured SAR images.