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针对航空照片中自动目标识别的复杂性．该文提出了一种基于神经网络的自动目标识别算法，
算法包括检测和虚警排除两个阶段．检1删阶段是在整幅区域中i挂行快速搜寻．找出所有可能的目标 虚
警排障阶段是对检测阶段得到的结果进行进一步的验证， 在尽可能保留全部真目标的前提下，将伪目标
排除．实验结果证明了算法的可行性．
关键词 神经网络，航空照片， 自动目标识别-against aerial photographs Automatic Target Recognition of comple
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将立体杂波图应用于气象杂波的CFAR处理，根据当前杂波环境的变化实时地产生杂内杂外标志，从而选择不同的信号处理支路处理当前气象杂波，提高了雷达的检测性能，降低了虚警概率。-Will be applied to three-dimensional meteorological clutter Clutter Map CFAR of treatment, according to the current clutter environment generated in real time with
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黄色图片检测器 OurDev专用版
为了保护论坛网友幼小的心灵不受毒害，特推出,“黄色图片检测器 OurDev专用版 ”
大家可以用此检测器检测图片是否黄色图片，以决定是否继续欣赏。
但是，由于本人技术有限，时间仓促，本检测器有一定的误报率和漏报率。 功能缺陷：没有形状检测和艺术纤维检测。
需要安裝opencv1.0才可以編譯。
-Yellow picture detector OurDev special edition User Forum in ord
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恒虚警率目标检测,计算雷达影像CFAR 阈值，达到雷达影像目标检测的目的-calculates classical radar CFAR threshold for 0-mean AWGN.classical Neyman-Pearson detection threshold for radar detection
under additive Gaussian white noise criterion and specifid false alarm
probability.
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恒虚警检查，根据虚警率确定门限值，进而确定检测概率-CFAR check, according to the false alarm rate to determine the threshold, and to determine the probability of detection
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认知无线电，能量检测程序，检测概率和虚警概率的对比pd VS pf -Cognitive radio, energy test procedures, detection probability and the false alarm probability contrast pd VS pf
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This
system consists of human detection, human tracking
and false object detection. The human detection
utilizes the background subtraction to segment the
blob and use codebook to classify human being from
other objects. The optimal design
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米字形CFAR，可以处理一些特殊的目标回波，提高检测率，降低虚警-M-shaped CFAR, can handle some special target echo enhance the detection rate and lower false alarm
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这是一个横虚惊概率的程序，也叫CFAAR，可以实现雷达图像数据的恒虚警检测
-This is a horizontal program of the false alarm probability, also known as CFAAR CFAR detection of the radar image data
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一篇介绍恒虚警技术在高频雷达目标检测中中的应用，非常经典-about CFAR
-A technology constant false alarm rate in the high-frequency radar target detection, very classic-about CFAR
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认知无线电网络中，当信噪比不同时检测概率随虚警概率的变化曲线。-In Cognitive radio network,when the SNR is not the same, the change curve between the detection probability and the false alarm probability.
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车牌定位的有效方法 ，使用多源信息融合达到对信息的定位方法-Adaboost detector has been successfully used in object detection. In this paper, we propose a new License
Plate (LP) detection technique based on multistage information fusion, which is adopted to reduce high
false a
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energy detection program of probability detection and false alarm
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These are the code for energy detection.these code also describe about threshold,probability of detection,probability of false alarm,etc-These are the code for energy detection.these code also describe about threshold,probability of detection,probabi
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Energy detection is a spectrum sensing method that detects the presence/absence of a signal just by measuring the received signal power. This signal detection approach is quite easy and convenient for practical implementation. To implement energy det
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雷达恒虚警技术，是雷达设计的关键技术之一。本文首先对雷达信号检测的定义作出了简要的说明，然后介绍一下具体有哪些检测技术。主要通过对动目标信号和噪声信号混合后的信号进行三脉冲对消处理，然后通过单元平均恒虚警的算法，进行了单位平均CFAR处理。完成了算法编程及评估，验证了自适应门限算法的有效性和正确性。-Constant false alarm detection
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CFAR即恒虚警检测，是雷达信号处理领域的经典处理算法，其核心是在保证虚警概率一定的条件下，尽可能提高检测概率-CFAR that is constant false alarm detection, radar signal processing field of the classic algorithm, its core is to ensure that the false alarm probability of certain conditions, as far as possi
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这个程序是雷达信号处理中的恒虚警检测算法，使用matalab语言编写，运行即可使用。(This program is constant false alarm detection in radar signal processing algorithm, using matalab language, running can be used.)
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单元平均恒虚警检测——CA-CFAR检测器：包括对于无目标、仅有噪声的信号进行CA-CFAR检测的仿真(Unit average constant false alarm detection - CA-CFAR detector: emulation of CA-CFAR detection for signals with no target and only noise)
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雷达信号检测用CFAR检测器?，单元平均恒虚警检测——CA-CFAR检测器：包括对于无目标、仅有噪声的信号进行CA-CFAR检测的仿真(CFAR detector for radar signal detection, unit average constant false alarm detection - CA-CFAR detector: Simulation of CA-CFAR detection for signals with no target and only noise)
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