The pretreatment of SAR images has been achieved by means of statistic characterization, CFAR detection.
它利用SAR图像所具有的统计特性、CFAR检测对SAR图像进行预处理。
CFAR detection of radar targets in heavy clutter background is an important part in radar signal processing.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
CFAR detection of radar targets in heavy clutter background is an important unit in radar signal processing.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
Because of the complex and fluctuant background in radar, classical CFAR detection technology lose its stability.
由于雷达检测背景的复杂和起伏，经典CFAR检测不能保持稳定的检测性能。
CFAR target detection method is proposed for nonhomogeneous environment in UWBSAR image with variability index and order-statistics CFAR detection.
针对UWBSAR图像中的非均匀背景目标检测问题，提出了一种CFAR检测方法。
Theoretical analysis and simulation result show that the proposed method can enhance the CFAR detection performance for AEW radar in the sea clutter background effectively.
理论分析和仿真结果表明，该方法能有效地提高AEW雷达海杂波背景中的CFAR检测性能。
The former studies on distributed constant false alarm rate (CFAR) detection, especially for distributed ordered statistics (OS) CFAR detection, are limited on simple ideal conditions.
对分布式恒虚警（CFAR）检测系统，特别是分布式统计排序（OS）CFAR检测系统的研究，往往局限于较为理想的简单条件。
The results indicate that this technique can improve the performance of CA and OS CFAR detection in multi target interference environments without any performance loss in homogeneous environments.
结果表明，该方法在不降低均匀环境下检测性能的条件下，可以明显改善CA和OS-CFAR在多目标干扰环境下的检测性能。
A model - based polarimetric adaptive CFAR detection algorithm is derived that has a lower estimation loss. A theoretical expression is derived for constant false alarm rate of the proposed algorithm.
提出了一种基于杂波模型的极化自适应恒虚警检测算法，该算法比极化自适应匹配滤波器算法有更小的估计损失，并推导出了虚警概率表达式。
Secondly, we systematically study the CFAR target detection algorithm with the guide of the conclusion gained from the research of the clutter statistical models.
其次，在研究杂波统计模型得到的结论的指导下，系统研究了恒虚警率（CFAR）目标检测算法。
We analyze its detection performance in homogeneous background and in the presence of strong interfering targets, and compare it to OS-CFAR.
在均匀背景和强干扰存在的情况下，分析了它的探测性能，并把它与OS - CFAR进行了比较。
In view of the applied background of CFAR processor in multi-distribution clutter, the detection performances of the clutter distribution test CFAR (CT-CFAR) are investigated.
针对恒虚警(CFAR)处理器在多分布类型杂波中的应用背景，分析了杂波分布检验恒虚警(CT -CFAR)处理器的检测性能。
For this new CFAR detector we obtain analytic expressions of the false alarm rate and detection probabilities un-der the Swerling 2 assumption.
对这种新的恒虚警算法在斯威林2型目标假设下，我们获得了虚警和探测概率的解析表达式。
It uses a conventional constant false-alarm-rate(CFAR) detection procedure but the thresholding scheme is based on regression analysis of power spectrum values along range and Doppler cells.
该方法采用传统的恒虚警率（CFAR）检测方法，但其门限设置是基于沿距离和多普勒单元功率谱值的回归分析。
The problem of multiband coherent radar adaptive constant false alarm rate (CFAR) detection against a compound-gaussian clutter background is investigated in this paper.
研究了复合高斯杂波环境中多频带相干雷达自适应恒虚警检测问题。
The proposed detection algorithm ensures the constant false alarm rate (CFAR) in homogeneous and partially-homogeneous clutter background.
研究结果证明该算法在均匀杂波环境和局部均匀杂波环境都有恒虚警的性质。
The constant false alarm rate (CFAR) detection of radar signal plays an important role in radar signal processing.
恒虚警(CFAR)检测是雷达信号处理的重要组成部分。
A new adaptive constant false alarm rate (CFAR) detector, referred as stepwise cumulation CA (SCCA) CFAR detector, is presented for target detection in a multi-target environment for SAR imagery.
针对多目标环境下的SAR图像目标检测，提出一种新的自适应cfar(恒虚警)检测器。
Most CFAR detectors need prior information on interfering 'targets in a multi-target environment, and hence can not keep stable detection performance when the detection environment changes.
多数CFAR检测器在多目标检测环境下需要关于干扰目标的先验信息，当检测环境发生变化时，这些检测器很难维持稳定的检测性能。
Most CFAR detectors need prior information on interfering 'targets in a multi-target environment, and hence can not keep stable detection performance when the detection environment changes.
多数CFAR检测器在多目标检测环境下需要关于干扰目标的先验信息，当检测环境发生变化时，这些检测器很难维持稳定的检测性能。
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