Joint Ship Detection Based on Time-Frequency Domain and CFAR Methods with HF Radar
Remote Sensing, 2021 Compact high-frequency surface wave radar (HFSWR) plays a critical role in ship surveillance. Due to the wide antenna beam-width and low spatial gain, traditional constant false alarm rate (CFAR) detectors often induce a low detection probability.
Zhiqing Yang +5 more
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Multiple Targets CFAR Detection Performance Based on an Intelligent Clustering Algorithm in K-Distribution Sea Clutter [PDF]
SensorsMaintaining a Constant False Alarm Rate (CFAR) in the presence of K-distributed sea clutter is vital due to the dynamic and unpredictable nature of maritime environments.
Mansoor M. Al-dabaa +4 more
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A Nonlinear Transform-Based Variability Index CFAR Detector for Doppler-Extended Targets [PDF]
SensorsIn frequency-modulated continuous-wave (FMCW) radar systems, the detection of Doppler-extended targets (DETs) is a critical challenge. The micro-Doppler effects induced by the motion of extended targets such as pedestrians cause the echo energy to spread
Lin Cao +4 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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A Novel Copula-Based Multi-Feature CFAR Framework for Radar Target Detection
Remote SensingMulti-feature radar target detection enhances the discrimination between targets and clutter, thereby improving detection accuracy. However, the complex nonlinear dependencies among features present significant challenges for precise control of the false
Juan Li +5 more
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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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Evaluation of AND-CFAR and OR-CFAR Processors Under Different Clutter Models [PDF]
Engineering and Technology Journal, 2013 In this paper an evaluation the detection performances for (AND-CFAR) and (OR-CFAR) processors under different clutter models is done for pulsed radar system.
Waleed Khalid Abd-Ali, Najim Abd-Ullah
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Robust CFAR Detector With Ordered Statistic of Sub-Reference Cells in Multiple Target Situations
IEEE Access, 2022 Herein, a robust constant false alarm rate (CFAR) detector with ordered statistic of sub-reference cells (OSS-CFAR) is proposed in multiple target situations. This detector can improve background level estimation and reduce computational complexity using
Taehee Jeong +3 more
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RmSAT-CFAR: Fast and accurate target detection in radar images
SoftwareX, 2018 As the first step of automatic image interpretation systems, automatic detection of the targets should be accurate and fast. Constant False Alarm Rate (CFAR) is the most popular target detection framework for Synthetic Aperture Radar (SAR) images.
Fatih Nar +3 more
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Research on a Novel Clutter Map Constant False Alarm Rate Detector Based on Power Transform [PDF]
Radioengineering, 2022 A power transform-based clutter map constant false alarm rate (CM/PT-CFAR) algorithm is proposed to improve the detection performance to the weak target in multiple persisting targets situations.
B. Z. Xu, Y. Q. Chen, H. Gu, W. M. Su
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