Results 11 to 20 of about 2,768,391 (211)
CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory [PDF]
EURASIP Journal on Advances in Signal Processing, 2010 We propose a new constant false alarm rate (CFAR) detection method from noncoherent radar echoes, considering heterogeneous sea clutter. It applies the Bayesian theory for adaptive estimation of the local clutter statistical distribution in the cell ...
Wataru Suganuma, Hiroyuki Yamaguchi
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CFAR-DP-FW: A CFAR-Guided Dual-Polarization Fusion Framework for Large-Scene SAR Ship Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingEffective ship detection in synthetic aperture radar (SAR) imagery is crucial for maritime safety and surveillance. Despite the advancements in deep learning for SAR ship detection, significant challenges remain, particularly in large scenes.
Tianjiao Zeng +7 more
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Wilcoxon Nonparametric CFAR Scheme for Ship Detection in SAR Image [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe parametric constant false alarm rate (CFAR) detection algorithms, which are based on various statistical distributions, such as Gaussian, Gamma, Weibull, log-normal, $G^{0}$, and alpha-stable distribution, are most widely used to detect the ship ...
Xiangwei Meng
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Evaluation of a Second order adaptive CFAR in the littoral environment [PDF]
, 2009 5th EMRS DTC Technical Conference – Edinburgh 2008This paper examines seven common CFAR techniques and describes a spatially adaptive CFAR that captures the best performance in respect of PD and Pfa in the presence of long tail and target corrupted ...
Lewis, Michael B., Hughes, Evan J.
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A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 As radar sensors are being miniaturized, there is a growing interest for using them in indoor sensing applications such as indoor drone obstacle avoidance.
Ali Safa +7 more
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Remote Sensing, 2020 The problem of target detection in impulsive non-Gaussian sea clutter has attracted a lot of attention in recent years. The positive alpha-stable (PαS) distribution has been validated as a suitable model for the impulsive non-Gaussian sea clutter.
Xu Liu, Shuwen Xu, Shiyang Tang
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Adaptive detection in nonhomogeneous environments using the generalized eigenrelation [PDF]
, 2007 This letter considers adaptive detection of a signal in a nonhomogeneous environment, more precisely under a covariance mismatch between the test vector and the training samples, due to an interference that is not accounted for by the training samples ...
Orlando, Danilo, Besson, Olivier
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The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments [PDF]
, 2008 The adaptive coherence estimator (ACE) is known to be the generalized likelihood ratio test (GLRT) in partially homogeneous environments, i.e., when the covariance matrix Ms of the secondary data is proportional to the covariance matrix Mp of the vector ...
Bidon, Stéphanie +2 more
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SAR Target CFAR Detection Via GPU Parallel Operation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 The constant false alarm rate with convolution and pooling (CP-CFAR) method, which can improve the detection efficiency via GPU parallel acceleration in the airborne synthetic aperture radar (SAR) images, is proposed in this paper.
Zongyong Cui +5 more
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Fast Superpixel-Based Non-Window CFAR Ship Detector for SAR Imagery
Remote Sensing, 2022 Ship detection in high-resolution synthetic aperture radar (SAR) images has attracted great attention. As a popular method, a constant false alarm rate (CFAR) detection algorithm is widely used.
Liang Zhang +4 more
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