SAR Processors Based on Signal or Interference Subspace Detector

Ginolhac, Guillaume; Thirion-Lefevre, Laetitia; Durand, Rémi; Forster, Philippe

doi:10.1109/taes.2010.5545170

Cited by 6 publications

(5 citation statements)

References 13 publications

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“…For more details on the target subspace, see [7] for single polarization and [18] for dual polarization. The generation of the interference subspace in single polarization is presented in [8] and the corresponding generation in dual polarization is given in this paper.…”

Section: ) Mmt Modelingmentioning

confidence: 99%

“…More details on processing complexity and computational times of subspace SAR algorithms can be found in [8], [27]. Moreover, accuracy of the subspace models with respect to angular sampling and rank reduction is studied in [7].…”

Section: Two Interference Matrices I Hmentioning

confidence: 99%

“…So, even if these postprocessing methods try to compensate this assumption, a lot of information is missing. We proposed in previous works [7], [8] new SAR algorithms that take into account MMTs and interference scattering properties and do not assume any more the isotropy of the scatterers. Moreover, we assume that the forest disturbance is a sum of deterministic clutter (interferences) caused by the trunks and random noise caused by the foliage, the branches of the trees ...…”

Section: Introductionmentioning

confidence: 99%

“…Compared to classical SAR processors, the SSDSAR algorithm has shown a 5dB detection gain for a single polarization [7]. To reduce false alarms due to the interferences, another SAR algorithm (SISDSAR for Signal and Interference Subspace Detector SAR) has been proposed in [8]. An interference is assumed to be a dielectric cylinder whose scattering also belongs to a low-rank subspace, called interference subspace.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

New SAR target imaging algorithm based on oblique projection for clutter reduction

Brigui

Ginolhac²,

Thirion-Lefevre

et al. 2014

IEEE Trans. Aerosp. Electron. Syst.

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We have developed a new Synthetic Aperture Radar (SAR) algorithm based on physical models for the detection of a Man-Made Target (MMT) embedded in strong clutter (trunks in a forest). The physical models for the MMT and the clutter are represented by low-rank subspaces and are based on scattering and polarimetric properties. Our SAR algorithm applies the oblique projection of the received signal along the clutter subspace onto the target subspace. We compute its statistical performance in terms of probabilities of detection and false alarms. The performances of the proposed SAR algorithm are improved compared to those obtained with existing SAR algorithms: the MMT detection is greatly improved and the clutter is rejected. We also studied the robustness of our new SAR algorithm to interference modeling errors. Results on real FoPen (Foliage Penetration) data showed the usefulness of this approach.

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Section: ) Mmt Modelingmentioning

confidence: 99%

Section: Two Interference Matrices I Hmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

New SAR target imaging algorithm based on oblique projection for clutter reduction

Brigui

Ginolhac²,

Thirion-Lefevre

et al. 2014

IEEE Trans. Aerosp. Electron. Syst.

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“…For example, by using geometric image transforms such as steerable pyramids [13], [14], curvelets [15] or sub-space projection [16], [17]. In this paper, we propose to use a linear Time-Frequency analysis based on the SAR geometry in order to retrieve the information.…”

Section: Introductionmentioning

confidence: 99%

Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis

Mian

Ovarlez

Ginolhac

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-In this paper, we propose a novel methodology for Change Detection between two monovariate complex SAR images. Linear Time-Frequency tools are used in order to recover a spectral and angular diversity of the scatterers present in the scene. This diversity is used in bi-date change detection framework to develop a detector, whose performances are better than the classic detector on monovariate SAR images.

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Modeling Radar Backscattering from Forests

COLIN,

THIRION‐LEFEVRE

2024

Inversion and Data Assimilation in Remote Sensing

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SAR Processors Based on Signal or Interference Subspace Detector

Cited by 6 publications

References 13 publications

New SAR target imaging algorithm based on oblique projection for clutter reduction

New SAR target imaging algorithm based on oblique projection for clutter reduction

Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis

Modeling Radar Backscattering from Forests

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