SAR Processor based on a CFAR Signal or Interference Subspace Detector Matched to Man Made Target Detection in a Forest

Durand, Rémi; Ginolhac, Guillaume; Thirion, L.; Forster, Philippe

doi:10.1109/icassp.2007.366230

Cited by 6 publications

(7 citation statements)

References 5 publications

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“…Future work will deal with more complex target models and the development of associated imaging algorithms based on the monostatic SAR processors presented in [19,20] where subspace approaches are used to integrate complex target model in monostatic SAR processing.…”

Section: Resultsmentioning

confidence: 99%

“…Several methods have been proposed for solving this problem: time-frequencybased methods [14][15][16], deconvolution methods [17], or optimization techniques [18]. This paper proposes new Multistatic Inverse SAR (MISAR) processors where SAR processors were showed to be particular cases of detection algorithms [19,20]. Two MISAR processors are developed, depending on the hypotheses made about the target: in the first case the target is assumed to be equivalent to a set of isotropic points, and in the second case the target is assumed to be equivalent to a set of nonisotropic points.…”

Section: Introductionmentioning

confidence: 99%

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Multifrequency and Multistatic Inverse Synthetic Aperture Radar, with Application to FM Passive Radar

Ginolhac

Schmitt

Daout

et al. 2009

EURASIP J. Adv. Signal Process.

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This paper deals with the imaging of a moving target using a multifrequency and multistatic radar consisting in one receiver and several narrowband transmitters. Considering two hypotheses about the studied target, we derive two multistatic inverse synthetic aperture radar processors: the first one, which models the target as a set of isotropic points, performs a coherent sum of bistatic images; the second one, which models the target as a set of nonisotropic points, performs an incoherent sum of bistatic images. Numerical simulations are done, which demonstrate the efficiency of the second processor. We also apply both processors to a multistatic passive radar scenario for which the transmitters are FM stations located in a realistic configuration. We study the system performance in terms of resolution and sidelobe levels as a function of the number of transmitters and of the integration time. Both processors are applied to similar complex targets for which the scattered fields are simulated by a numerical electromagnetic code. The resulting multistatic radar images show interesting characteristics that might be used by classification algorithms in future work.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multifrequency and Multistatic Inverse Synthetic Aperture Radar, with Application to FM Passive Radar

Ginolhac

Schmitt

Daout

et al. 2009

EURASIP J. Adv. Signal Process.

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“…As in [5,9], we propose to form the SAR image by choosing a monotonic function of the Generalized Likelihood Ratio Test (GLRT) [3,4] for the pixel value I(x, y):…”

Section: Detection Problemmentioning

confidence: 99%

“…A canonical element for the model may be more adapted to detect realistic targets. As in [3,4], the canonical element is chosen here to be a perfectly conducting (PC) plate whose backscattering is computed by means of physical optics approximation (PO). For a PC plate, the PO approximation gives rise to the nullity of the cross-polarized components (HV and VH) of the backscattered electric field; hence, only the HH and VV channels are considered in our study.…”

Section: Polarimetric Target Modelmentioning

confidence: 99%

“…However, the target scattering properties can be used to have a more suitable model. We previously developed new SAR processors based on subspace detectors to take into account the scattering properties of MMT in only one polarimetric channel [3,4]. In this paper, we consider all the polarization channels in addition to the scattering properties of the target.…”

Section: Introductionmentioning

confidence: 99%

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New polarimetric signal subspace detectors for SAR processors

Brigui¹,

Thirion-Lefevre²,

Ginolhac³

et al. 2010

Comptes Rendus. Physique

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Our studies aim at detecting targets embedded in a complex environment for radar applications. This article deals with new polarimetric SAR (synthetic aperture radar) processors based on subspace detectors. These algorithms use models of targets including physical and polarimetric properties of their scattering on the contrary to the isotropic point model that is commonly used. These processors are implemented by computing the corresponding subspaces that contain the relevant responses of the target. We choose for application the detection of targets under forest foliage. The obtained results both on simulated data of realistic targets and real data show the interest of these new processors.

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A novel visual attention method for target detection from SAR images

Gao

Liu

et al. 2019

Chinese Journal of Aeronautics

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SAR Processor based on a CFAR Signal or Interference Subspace Detector Matched to Man Made Target Detection in a Forest

Cited by 6 publications

References 5 publications

Multifrequency and Multistatic Inverse Synthetic Aperture Radar, with Application to FM Passive Radar

Multifrequency and Multistatic Inverse Synthetic Aperture Radar, with Application to FM Passive Radar

New polarimetric signal subspace detectors for SAR processors

A novel visual attention method for target detection from SAR images

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