&lt;title&gt;Detection of concealed ground targets in CARABAS SAR images using change detection&lt;/title&gt;

Ulander, Lars M. H.; Froelind, Per-Olov; Gustavsson, A.; Hellsten, Hans; Larsson, B.

doi:10.1117/12.357641

Cited by 36 publications

(30 citation statements)

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“…( 1 5 ) In section II.C we gave the displacement of the moving target in one antenna channel in equations (8)(9)(10). In an antenna array the moving target will change its position between the channels, due to the connection between space and time associated with a moving platform.…”

Section: Focusing Moving Targetsmentioning

confidence: 99%

“…From the separation time, the moving target minimum range can be found for each channel by using (8)(9)(10). The point where the minimum range occur in radar coordinates is separated for each channel to first channel by…”

Section: Focusing Moving Targetsmentioning

confidence: 99%

“…LORA's design is based upon CARABAS technology but extends system capabilities through both a larger bandwidth and including a UHF multichannel antenna array. The low frequencies used by these systems, combined with their high relative resolution, provide a unique capability of detecting targets concealed in foliage [8][9][10][11]. The capabilities of the LORA system will be extended based upon the theory developed in this paper.…”

Section: Introductionmentioning

confidence: 99%

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Detection of moving targets in wideband SAR

Pettersson

2004

IEEE Trans. Aerosp. Electron. Syst.

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Abstract-A likelihood ratio is proposed for moving target detection in a wide band (WB) SAR system. For this paper, WB is defined as any systems having a large fractional bandwidth, i.e. an ultra wide frequency band combined with a wide antenna beam. The developed method combines time domain fast backprojection SAR processing methods with moving target detection using space-time processing. The proposed method reduces computational load when sets of relative speeds can be tested using the same clutter suppressed sub-aperture beams. The proposed method is tested on narrow band radar data.

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Section: Focusing Moving Targetsmentioning

confidence: 99%

Section: Focusing Moving Targetsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Detection of moving targets in wideband SAR

Pettersson

2004

IEEE Trans. Aerosp. Electron. Syst.

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“…In order to detect the moving targets in the test image, the algorithm takes the difference of the two photos and the outcome consist mostly of the moving targets. The effectiveness of the change-based ATD scheme has been proved by [9][10][11] [12].…”

Section: Introductionmentioning

confidence: 99%

A rotation-invariant transform for target detection in SAR images

Paulson

et al. 2008

SPIE Proceedings

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Rotation of targets poses a great challenge for the design of an automatic image-based target detection system. In this paper, we propose a target detection algorithm that is robust to rotation of targets. Our key idea is to use rotation invariant features as the input for the classifier. For an image in Radon transform space, namely R (b, θ), taking the magnitude of 1-D Fourier transform on θ, we get |F θ {R(b, θ)}|. The rotation invariance of the coefficients of the combined Radon and 1-D Fourier transform, |F θ {R(b, θ)}| was proved in this paper. These coefficients are used as the input to a maximum-margin classifier based on I-RELIEF feature weighting technique. The objective of the I-RELIEF technique is to maximize the margin between two classes and improve the robustness of the classifier against uncertainties. For each pixel of the Synthetic Aperture Radar (SAR) image, a feature vector can be extracted from a sub image centered at that pixel. Then our maximum-margin classifier decides whether the pixel is target or non-target which produces a binary-valued image. We further improved the detection performance by connectivity analysis, image differencing, and diversity combining. Our performance evaluation of the proposed algorithm was based on the data set collected by Swedish CARABAS-II systems. In conclusion, the experimental results show that our proposed algorithm achieved superior performance over the benchmark algorithm.

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“…At low frequencies it is associated with the detection of any moving targets which may be concealed, for example, in forested roads [17]. Both areas are of great importance; we have, therefore not made any frequency or bandwidth restrictions in the derivation.…”

Section: Introductionmentioning

confidence: 99%

Optimum relative speed discretisation for detection of moving objects in wide band SAR

Pettersson

2007

IET Radar Sonar Navig.

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This is an author produced version of a paper published in IET Radar, Sonar and Navigation. This paper has been peer-reviewed but may not include the final publisher proof-corrections or journal pagination.Citation for the published paper: Mats I. Pettersson Optimum relative speed discretisation for detection of moving objects in wide band SAR IET Radar, Sonar and Navigation Volume 1, Issue 3, page 213-220, Year 2007 Access to the published version may require subscription. Published with permission from: IET Abstract: This paper considers Ground Moving Target Indication (GMTI) using Synthetic Aperture Radar (SAR). SAR GMTI requires that Relative Speed between the target and the SAR platform is included in the detection algorithm. A separation between the true Relative Speed and the Relative Speed used in the SAR process will cause unfocused targets, and decrease detectability. Blind hypotheses of Relative Speeds are used in the detection phase of moving targets in SAR.The step size between the hypotheses (or, discretization step) in Relative Speed involves a trade off between the number of hypotheses to test and detectability. A large number of tests will increase detectability but will also increase computation load and vice versa. The relevance of Relative Speed increases as the azimuth integration time gets larger. Long integration time is associated with low signature moving target detection in strong clutter environments, or for SAR GMTI at low frequencies. In this paper we determine the optimum discretization of Normalized Relative Speed (NRS) for moving target detection. The optimum discretization is derived from the moving target impulse response. Use of optimum discretization reduces the computation burden in SAR GMTI and secures the detectability.

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<title>Detection of concealed ground targets in CARABAS SAR images using change detection</title>

Cited by 36 publications

References 0 publications

Detection of moving targets in wideband SAR

Detection of moving targets in wideband SAR

A rotation-invariant transform for target detection in SAR images

Optimum relative speed discretisation for detection of moving objects in wide band SAR

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