Multichannel SAR-GMTI in Maritime Scenarios With F-SAR and TerraSAR-X Sensors

Makhoul, Eduardo; Baumgartner, Stefan V.; Jäger, Marc; Broquetas, A.

doi:10.1109/jstars.2015.2438898

Cited by 63 publications

(33 citation statements)

References 32 publications

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“…The average Doppler power spectrum (10), which was estimated before, is further used to normalize the "original" "blue" range-Doppler data blocks (14) (see also Figure 1a,b). The CFAR threshold is then applied individually to each of these data blocks to detect the ship pixels (15).…”

Section: Algorithm Block Diagrammentioning

confidence: 99%

“…For such applications, airborne platforms are very beneficial due to their flexibility to collect data with very high resolution and with short revisit and long observation times [11][12][13]. Furthermore, the use of multiple receiving channels offers additional advantages like clutter cancellation which leads to efficient target detection [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Range-Doppler Based CFAR Ship Detection with Automatic Training Data Selection

et al. 2019

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Ship detection is an essential maritime security requirement. Current state-of-the-art synthetic aperture radar (SAR) based ship detection methods employ fully focused images. The time-consuming processing efforts required to generate these images make them generally unsuitable for real time applications. This paper proposes a novel real time oriented ship detection strategy applicable to range-compressed (RC) radar data acquired by an airborne radar sensor during linear, circular and arbitrary flight tracks. A constant false alarm rate (CFAR) detection threshold is computed in the range-Doppler domain using suitable distribution functions. Detection in range-Doppler has the advantage that principally even small ships with a low radar cross section (RCS) can be detected if they are moving fast enough so that the ship signals are shifted to the exo-clutter region. In order to determine a robust threshold, the ocean statistics have to be described accurately. Bright target peaks in the background ocean data bias the statistics and lead to an erroneous threshold. Therefore, an automatic ocean training data extraction procedure is proposed in the paper. It includes (1) a novel target pre-detection module that removes the bright peaks from the data already in time domain, (2) clutter normalization in the Doppler domain using the remaining samples, (3) ocean statistics estimation and (4) threshold computation. Various sea clutter models are investigated and analyzed in the paper for finding the most suitable models for the RC data. The robustness and applicability of the proposed method is validated using real linearly and circularly acquired radar data from DLR’s (Deutsches Zentrum für Luft- und Raumfahrt) airborne F-SAR system.

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Section: Algorithm Block Diagrammentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Range-Doppler Based CFAR Ship Detection with Automatic Training Data Selection

et al. 2019

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“…The speed of the moving target vehicle is 30 km/h and the direction of movement is 45 o with respect to the flight direction. According to (9), this arrangement gives us a normalized relative speed of γ = 0.9553. Figure 2(a) shows the whole SAR image of the simulated ground scene.…”

Section: A Simulated Sar System and Ground Scenementioning

confidence: 99%

“…A simulated ground moving target has been used to illustrate the proposal. A similar approach is introduced recently in [8], [9] where the data has been adaptively refocused using the matched filter bank approach jointly with Range Doppler.…”

Section: Introductionmentioning

confidence: 99%

Moving Target Focusing in SAR Image With Known Normalized Relative Speed

Pettersson

Sjogren

2017

IEEE Trans. Aerosp. Electron. Syst.

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Abstract-The paper presents the moving target focusing method which allows focusing moving targets in complex SAR images without raw data. The method is developed on the range migration algorithm where focusing moving target is an interpolation step in the wave domain. The simulated results are provided in the paper to illustrate the proposed method whereas the experimental results show its practicality. The method can be flexibly applied from small area to the whole SAR scene.

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“…The clutter cancellation is important to moving target detection especially when the target is buried in strong clutter. The conventional detection techniques include along-track interferometry (ATI) [4], displaced phase center antenna (DPCA) [5] and space-time adaptive processing (STAP) [6]. The main disadvantages are that the increased system complexity and high cost due to increasing the number of antennas.…”

Section: Introductionmentioning

confidence: 99%

Moving Target Detection with Modified Logarithm Background Subtraction and Its Application to the GF-3 Spotlight Mode

et al. 2019

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Spaceborne spotlight SAR mode has drawn attention due to its high-resolution capability, however, the studies about moving target detection with this mode are less. The paper proposes an image sequence-based method entitled modified logarithm background subtraction to detect ground moving targets with Gaofen-3 Single Look Complex (SLC) spotlight SAR images. The original logarithm background subtraction method is designed by our team for airborne SAR. It uses the subaperture image sequence to generate a background image, then detects moving targets by using image sequence to subtract background. When we apply the original algorithm to the spaceborne spotlight SAR data, a high false alarm problem occurs. To tackle the high false alarm problem due to the target’s low signal-to-noise-ratio (SNR) in spaceborne cases, several improvements are made. First, to preserve most of the moving target signatures, a low threshold CFAR (constant false alarm rate) detector is used to get the coarse detection. Second, because the moving target signatures have higher density than false detections in the coarse detection, a modified DBSCAN (density-based spatial-clustering-of-applications-with-noise) clustering method is then adopted to reduce false alarms. Third, the Kalman tracker is used to exclude the residual false detections, due to the real moving target signature having dynamic behavior. The proposed method is validated by real data, the shown results also prove the feasibility of the proposed method for both Gaofen-3 and other spaceborne systems.

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Multichannel SAR-GMTI in Maritime Scenarios With F-SAR and TerraSAR-X Sensors

Cited by 63 publications

References 32 publications

Range-Doppler Based CFAR Ship Detection with Automatic Training Data Selection

Range-Doppler Based CFAR Ship Detection with Automatic Training Data Selection

Moving Target Focusing in SAR Image With Known Normalized Relative Speed

Moving Target Detection with Modified Logarithm Background Subtraction and Its Application to the GF-3 Spotlight Mode

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