提出了一种特殊米波雷达体制下的多目标检测方法。
In this paper, a detection method for multiple targets is presented in a special VHF radar system.
实现基于运动矢量预测的弱小多目标检测与跟踪算法。
This paper address an algorithm of detection and tracking dim small multi-targets based on motion vector estimation.
提出一种使用功率谱相减的实时联合变换相关器作多目标检测。
Multitarget detection using a real time joint transform correlator with power spectrum subtraction is proposed.
基于信息增量提出了一种多传感器对多目标检测与分类的优化算法。
An optimizing algorithm based on information gain is put forward for multisensor detection and classification of multitargets.
基于概率统计模型给出了一种多传感器对多目标检测与分类的优化算法。
An optimizing algorithm of detection and classification used in multisensor and multitarget is put forward based on probability statistical model.
理论和实验结果表明，这些方法对于红外背景下的多目标检测是十分有效的。
The result of the experimentation and theory show its efficiency for the multi-object detection.
一般采用差分法作为多目标检测与跟踪的初始分割，或者与其他方法结合使用。
Difference method can also be used for initial segmentation in multi-object detection and tracking or be integrated with other methods.
研究了漏检情况下多传感器多目标检测中的数据关联问题，并将其描述为数学规划中组合最优化问题。
This paper studies the problem of data association in multisensor multitarget detection under the condition of leakage and describes it as combinatorial optimization in mathematical programming.
首先对多目标检测的特点进行了分析，对分形理论进行了介绍，然后详细介绍了该融合检测算法的思路和原理。
Firstly, the character of multi-target detection is analyzed, the fractal theory is introduced, and then the theory of fusion detection scheme is introduced in detail.
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.
其中，数字信号处理技术与数字图像处理技术是实现基于多目标识别的自动乘客计数技术的前提与基础，多目标检测与跟踪计数算法是技术实现与应用的核心。
Technologies of digital signal processing and digital image processing are the basis of APC, and multi-objects detecting and tracking algorithm is the essential factor to implement it.
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。
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.
仿真实验表明，该方法能有效地检测多目标雷达回波信号并准确地估计其参数，而且有较好的抗噪声性能。
The simulation results show that this method is not only suitable for the detection and the parameter estimation of multi target radar echo signal, but also good at reducing noise.
结合实际测试结果，介绍了大天区面积多目标光纤光谱天文望远镜(LAMOST)低色散光谱仪所使用的科学级CCD相机的系统设计与检测技术。
A scientific CCD camera for the low-dispersion spectrograph of large sky area multi-object fiber spectroscopic telescope (LAMOST) was introduced along with the test and analysis of its performance.
针对水下多目标的检测与定位问题，提出了一种基于合成时空谱的多目标运动分析方法。
The method for multiple target motion analysis based on integrated space time spectrum is presented.
结果表明，CA - CFAR检测器在均匀杂波中性能较好，但在多目标干扰环境中性能严重下降。
The simulation results show the performance of CA-CFAR detector is good under uniform clutter, and is seriously descended under multi-target interference background.
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。
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。
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.
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