Experimental studies on circular SAR imaging in clutter using angular correlation function technique

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

doi:10.1109/36.789616

Cited by 58 publications

(10 citation statements)

References 9 publications

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“…in [19]. The ultimate case of the so-called (full) circular SAR, where the observation platform makes a circle around the target during the image acquisition, is presented in [20,21]. However, for wide-angle SAR one can no longer assume that the reflectivity does not depend on the direction, as in (1).…”

Section: Coordinate-delay Sar Image and The Kernel Of The Imaging Ope...mentioning

confidence: 99%

Detection of delayed target response in SAR

Gilman¹,

Tsynkov²

2019

Inverse Problems

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Delayed target response in synthetic aperture radar (SAR) imaging can be obscured by the range-delay ambiguity and speckle. To analyze the range-delay ambiguity, one extends the standard SAR formulation and allows both the target reflectivity and the image to depend not only on the coordinates, but also on the response delay. However, this still leaves the speckle unaccounted for. Yet speckle is commonly found in SAR images of extended targets, and a statistical approach is usually employed to describe it. We have developed a simple model of a delayed scatterer by modifying the random function that describes a homogeneous extended scatterer. Our model allows us to obtain a relation between the deterministic parameters of the target model and statistical moments of the SAR image. We assume a regular shape of the antenna trajectory, and our model targets are localized in at least one space-time coordinate; this permits analytical formulation for statistical moments of the image. The problem of reconstruction of coordinate-delay reflectivity function is reduced to that of discrimination between instantaneous and delayed scatterers; for the latter problem, the maximum likelihood based image processing procedure has been developed. We perform Monte-Carlo simulation and evaluate performance of the classification procedure for a simple dependence of scatterer reflectivity on the delay time.

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Section: Coordinate-delay Sar Image and The Kernel Of The Imaging Ope...mentioning

confidence: 99%

Detection of delayed target response in SAR

Gilman¹,

Tsynkov²

2019

Inverse Problems

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show abstract

“…In the above two-step reconstruction method, we need to solve the minimization problems ( 6), ( 9) and (11). Let us denote by F the set of parameters we want to recover.…”

Section: Numerical Minimizationmentioning

confidence: 99%

“…We have tested reconstructions based on other similar frequency bands, with similar results. We want to emphasize in this paper that the inverse transport algorithm works in the narrow-band regime and thus will present reconstructions based on measurements in the frequency band (9)(10)(11). Further details on the experimental setup are described in [21].…”

Section: Experimental Configuration and Measurementsmentioning

confidence: 99%

Experimental validation of a transport-based imaging method in highly scattering environments

et al. 2007

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We demonstrate the effectiveness of a transport-based reconstruction method for imaging in highly scattering environments. Experimentally measured wave energy data are used to reconstruct extended inclusions buried in scattering media or hidden behind non-penetrable obstacles. The performance of the imaging method is illustrated under various circumstances, via a set of electromagnetic experiments.

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“…KM loses statistical stability at an exponential rate with the propagation distance and leads to unreliable images that change unpredictably with the detailed features of the clutter. Borcea et al [9,10] as well as Chan et al [21] show that CINT imaging statistically stabilizes the images. That is, images have small variance with respect to the random fluctuations of the propagation medium.…”

Section: Introductionmentioning

confidence: 94%

Coherent interferometric imaging in a random flow

Gay

Bonnet

Peyret

et al. 2021

Journal of Sound and Vibration

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This paper is concerned with the development of imaging methods to localize sources or reflectors in inhomogeneous moving media with acoustic waves that have travelled through them. A typical example is the localization of broadband acoustic sources in a turbulent jet flow for aeroacoustic applications. The proposed algorithms are extensions of Kirchhoff migration (KM) and coherent interferometry (CINT) which have been considered for smooth and randomly inhomogeneous quiescent media so far. They are constructed starting from the linearized Euler equations for the acoustic perturbations about a stationary ambient flow. A model problem for the propagation of acoustic waves generated by a fixed point source in an ambient flow with constant velocity is addressed. Based on this result imaging functions are proposed to modify the existing KM and CINT functions to account for the ambient flow velocity. They are subsequently tested and compared by numerical simulations in various configurations, including a synthetic turbulent jet representative of the main features encountered in actual jet flows.

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Experimental studies on circular SAR imaging in clutter using angular correlation function technique

Cited by 58 publications

References 9 publications

Detection of delayed target response in SAR

Detection of delayed target response in SAR

Experimental validation of a transport-based imaging method in highly scattering environments

Coherent interferometric imaging in a random flow

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