Subsurface detection of a buried object using angular correlation function measurement

Chan, Tsz-King; Kuga, Yasuo; Ishimaru, Akira

doi:10.1080/13616679709409809

Cited by 26 publications

(16 citation statements)

References 5 publications

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“…Spatial, frequency, and angular averaging have been proposed [2,3]. It has been shown through numerical and experimental investigations that the angular correlation function (ACF) with frequency averaging is superior for detecting a buried object under a random rough surface when compared with an RCS-based technique or to other correlation functions and/or averaging techniques [3,4]. The ACF considers the correlation between the scattered fields observed at two or more combinations of different incident and scattered angles.…”

Section: Introductionmentioning

confidence: 98%

“…It is clear from these observations that the RCS alone is not sufficient for unambiguously distinguishing vehicles from tree trunks, and that a different feature is needed. Recently, researchers have explored the use of the correlation function of the scattered field to detect an object buried under a random rough surface [1][2][3][4][5][6]. Correlation functions are computed by taking averages over the product of two scattered fields.…”

Section: Introductionmentioning

confidence: 99%

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Application of frequency correlation function to radar target detection

El-Rouby¹,

Nashashibi²,

Ulaby³

2003

IEEE Trans. Aerosp. Electron. Syst.

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Analysis of high-resolution 35 GHz synthetic aperture radar (SAR) imagery of terrain reveals that when point targets, such as vehicles, are viewed at angles close to grazing incidence, they are often difficult to distinguish from tree trunks because the radar cross section (RCS) intensities of the vehicles are comparable to the upper end of the RCS exhibited by tree trunks. To resolve the point target/tree trunk ambiguity problem, a detailed study was conducted to evaluate the use of new detection features based on the complex frequency correlation function (FCF). This paper presents an analytical examination of FCF and its physical meaning, the results of a numerical simulation study conducted to evaluate the performance of a detection algorithm that uses FCF, and the corroboration of theory with experimental observations conducted at 35 and 95 GHz. The FCF-based detection algorithm was found to correctly identify tree trunks as such in over 90% of the cases, while exhibiting a false alarm rate of only 3%.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Application of frequency correlation function to radar target detection

El-Rouby¹,

Nashashibi²,

Ulaby³

2003

IEEE Trans. Aerosp. Electron. Syst.

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“…Experimental studies of the correlation function have been conducted for targets in random media as in reference [17]. Those studies have run the detection measurements on simple convex cylinders only buried in random media and also didn't consider the polarization of incident waves.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of Some Scattering Problems in Continuous Random Medium

El-Ocla¹,

Tateiba²

2003

PIER

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Abstract-In this paper, we present numerical analysis for the following scattering problems: the radar cross-section, the backscattering enhancement, and the angular correlation function for waves scattered from practical targets embedded in random media. We assume perfect conducting targets with various cross-sections to study the effect of target configuration on the scattering problems. Also, we consider different random media with taking account of incident wave polarization. The scattering waves from conducting targets in random media can be estimated by a numerical method that solves the scattering problem as a boundary value problem. In this method, we use current generator and Green's function to obtain an expression for the scattering waves.

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“…The independent samples obtained from the frequency response reduce the number of independent measurements needed to construct the statistics of the backscatter. Correlation of the scattered fields along different scattering directions have also been studied [10], with particular emphasis on its application to the reduction of radar clutter. The relationship between the angular and frequency correlation functions of a target has been established [11].…”

mentioning

confidence: 99%

Analysis and applications of backscattered frequency correlation function

Sarabandi

Nashashibi

1999

IEEE Trans. Geosci. Remote Sensing

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Abstract-In this paper, the application of the radar backscatter frequency correlation for classification and inversion of physical parameters of terrestrial targets is investigated. Traditionally, in radar remote sensing, the backscattering coefficients and the backscatter phase difference statistics of a distributed target are considered for estimating the biophysical parameters of interest. Because of the complex nature of random media scattering problems, however, target classification and parameter inversion algorithms are very convoluted. One obvious way of enhancing the success and accuracy of an inversion algorithm is to expand the dimension of the input vector space. Depending on the radar parameters, such as footprint (pixel) size, incidence angle, and the target attributes (physical parameters), the backscatter signal decorrelates as function of frequency. In this paper, analytical and experimental procedures are developed to establish a relationship between the complex frequency correlation function (FCF) of the backscatter and the radar and target attributes. Specifically, two classes of distributed targets are considered: 1) rough surfaces and 2) random media. Analytical expressions for the frequency correlation function are derived and it is shown that the effect of radar parameters can be expressed explicitly and thus removed from the measured correlation functions. The University of Michigan wideband polarimetric scatterometer systems are used to verify the theoretical models and inversion algorithms developed in this study.

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Subsurface detection of a buried object using angular correlation function measurement

Cited by 26 publications

References 5 publications

Application of frequency correlation function to radar target detection

Application of frequency correlation function to radar target detection

Numerical Analysis of Some Scattering Problems in Continuous Random Medium

Analysis and applications of backscattered frequency correlation function

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