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Adaptive detection problem of range-spread targets is investigated in generalized Pareto sea clutter. Texture component of non-Gaussian sea clutter is considered to follow inverse gamma distribution in order to match the non-Gaussian characteristic of clutter. In response to the heavy detection performance loss of adaptive detectors when the secondary data are limited, the persymmetric structure of...
In this paper, we analyze the performances of the Cell Averaging based on Lookup Tables (CA-LT) detector considering distributed targets embedded in Pareto distributed clutter. Assuming that the clutter parameters are not a priori known, the detector's structure is associated to an estimation approach that estimates the clutter parameters. The latter are used to select the suitable threshold factor...
Research efforts have been devoted to extraction and visualization of vortices in an unsteady (turbulent) flow. Characterizing the behaviors of the flow, vortices are identifiable as regions using a vortex detector known as the lambda2-criterion. Isosurface visualization renders vortex regions based on a chosen isovalue. However, it is highly challenging to choose one isovalue suitable for visualizing...
In this paper, we propose to analyze the performances of the Multiple pulse Cell Averaging based on Lookup Tables detector (M-pulse CA-LT), considering range spread targets embedded in Non Gaussian clutter. Under the assumption of Weibull clutter samples with unknown parameters, we introduce the pulse-to-pulse Moments (MOM) estimation approach. The latter estimates the shape and the scale parameter...
One of the most important problems in radar detection design is the maintaining of Constant False Alarm (CFAR). In the context of non coherent detection for high resolution radars with low grazing angle, we propose a new decision rule that achieves the CFAR property with respect to a class of clutter models. This paper demonstrates that the new proposed detector is CFAR and robust under the assumption...
Adaptive radar detection and estimation schemes are often based on the independence of the training data used for building estimators and detectors. This paper relaxes this constraint and deals with the non-trivial problem of deriving detection and estimation schemes for joint spatial and temporal correlated radar measurements. In order to estimate these two joint correlation matrices, we propose...
The problem of range-migrating target detection in a compound-Gaussian clutter is studied here. We assume a target to have a range-walk of a few range cells during the coherent processing interval, when observed by wideband radar with high range resolution. Two CFAR detectors are proposed assuming different correlation properties of clutter over range. The detectors' performance is studied via numerical...
This paper presents BIND (Binary Integrated Net Descriptor), a texture-less object detector that encodes multi-layered binary-represented nets for high precision edge-based description. Our proposed concept aligns layers of object-sized patches (nets) onto highly fragmented occlusion resistant line-segment midpoints (linelets) to encode regional information into efficient binary strings. These lightweight...
Extensive work has been carried out on detecting ships using space-borne Synthetic Aperture Radar (SAR) systems. However, the identification of small vessels is still challenging especially when the sea conditions are rough. In this work, a new detector is proposed based on dual-polarized incoherent SAR images. Small ships have a stronger cross polarization accompanied by a higher cross-over co-polarization...
Icebergs can cause a significant danger for shipping, offshore oil exploration, and undersea or subsea pipelines and production facilities. Synthetic aperture radar (SAR) is very valuable tool of detecting and monitoring icebergs in the often dark and cloud-covered polar regions. Detection of small icebergs floating in nonhomegeous sea clutter environments is a challenging task in remote sensing....
Target-Adaptive Matched Illumination (MI) Radars work on targets which can be resolved into multiple discrete scattering centers. Plurality of scattering centers depend on the physical extent and orientation of the target, the range resolution capabilities of the radar and its operating frequency. Increasing the radar range resolution reduces the amount of backscattered energy per discrete range cell,...
The goal of most modern automotive safety driver assistance functions is to avoid possible collisions. Pedestrian protection, predictive emergency braking or turn and crossing assist functions are usually based on two steps. First, the radar provides detailed information on the environment, and then a detection procedure is driven. Because of the complicated environment near the vehicle, this second...
Multiple-input multiple-output (MIMO) radars with wideband signals are useful to discriminate target in clutter. With wideband MIMO radar, the problem of extended target detection in compound-Gaussian clutter is considered in this paper. By obtaining target echoes from each antenna, the detector based on generalized likelihood ratio test (GLRT) is developed. It shows that the shape parameter of clutter,...
Coherent CFAR (Constant False Alarm Rate) detectors were designed and evaluated in non-homogeneous DVB-T (Digital Video Broadcasting-Terrestrial) passive radar scenarios. Conventional CFAR techniques are usually applied to noncoherent detector that can not be optimal attending to Neyman-Pearson criterion. The capability to approximate function of neural networks (NN) was used to maintain the false...
Computational technology advancements have enabled the radar engineers to model and understand extended targets. One of the common statistical models of extended target is based on Gaussian distribution. In this paper, we address the problem of detection of such an extended target that has a non-Gaussian clutter plus noise background using MIMO radar. Specifically, approximations are sought for theoretically...
Synthetic Aperture Radar (SAR) has over the years evolved to be one of the most promising remote sensing modalities for large-scale monitoring of the ocean and maritime activity. The detection of ships at sea in SAR imagery is a challenging task, as it requires the detection of small targets with little exploitable spatial information within a high resolution image. We present a novel method for the...
The identification of small icebergs in SAR images is challenging especially when these are embedded in sea ice. In this work, a new detector is proposed based on dual-polarized incoherent SAR images. Small icebergs have a stronger cross polarization accompanied by a higher cross- over co-polarization ratio compared to sea ice in many cases. This is the rational at the base of the detector.
Handheld metal detectors are ubiquitous devices in humanitarian demining. They are sensitive to extremely small metallic objects as in low-metallic content landmines. However, this leads to enormous false alarm rates (1 to 1000). Recent research in electromagnetic induction techniques for discrimination of hazardous metallic targets and clutter gives rise to a hope of faster, smarter and safer mine...
This paper investigates the problem of automatic target detection in a Pareto background under multiple target situations. The number of interfering targets is assumed to be unknown. We derive the Enhanced Variability Index Automatic Selection and Detection Constant False Alarm Rate (EVI-ASD-CFAR) Processor. This latter selects and matches dynamically the suitable detector among the Geometric Mean...
Adaptive detection of range-spread target is discussed in the extremely training-deficient scenarios. The performance analysis of the detector without training data is conducted by Monte Carlo simulation. It implies that, the detector performs robustly for different correlations of clutter and for different target scatterer models. Furthermore, the detection performance improves as the number of channels...
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