讨论了红外图像点目标的检测问题。
此计划将确定是否能够满足恢复点目标(RPO)。
The schedule will determine if you can meet your recovery point objective (RPO).
“我没有计划，没有一点点目标了，”她说道。
点目标识别是反导系统中最困难的问题之一。
Point target recognition is the most difficult task in anti-missile system.
最后，给出了模糊点目标的统计分布数字特征。
Following that the characteristics of statistical distribution of fuzzy point objects are described.
所述方法可用于热成像系统点目标性能预测与评估。
The method is used for forecast and evaluation of thermal imaging system for point target performance.
序列图像中低信噪比运动点目标的检测算法及其性能分析。
The detection algorithm for the low SNR point target in image sequences and its performance is studied.
主要讨论了红外序列图像中缓动点目标的流水线检测算法。
This paper focuses on a pipeline algorithm for detecting slowly moving targets in infrared sequence images with complex background.
这个时间段确定了您的灾难数据中心的恢复点目标(RPO)。
It is this period that determines the recovery point (RPO) of your disaster data center.
图像中低信噪比点目标检测与跟踪，从理论上讲是一个难题。
To a point target there is no extent information can be used.
利用量子点目标定位癌细胞，对于寻找癌变部位具有指导的作用。
It has conductive effects to find the cancerous parts with quantum dots (QDs) target orientation.
点目标的检测、识别与跟踪是提高制导武器系统性能的关键技术之一。
The detection, recognition and tracking of point targets are the key technology to enhance the ability of guidance system.
要把淹没在噪声背景中的运动点目标检测出来是一个十分困难的问题。
To detect a moving point target that is submerged in noisy background is a very difficult problem.
本文讨论了低信噪比条件下缓动点目标检测技术中候选轨迹的确定算法。
In this paper, we discussed an algorithm for decision trajectory during detecting slowly moving point target in low SNR.
本文讨论了低信噪比条件下缓动点目标检测技术中候选轨迹的确定算法。
This paper discusses a technique for detecting slowly moving point targets in low SNR images.
在复杂背景红外序列图像中，运动点目标的检测一直是研究的重点和难点。
Detection of moving point target in infrared sequence images with complex background is the emphasis and difficulty of target detection.
图像序列中运动点目标的检测一直是目标检测与识别领域中的重点和难点。
Moving point targets detection in image sequences always be the emphasis and difficulty in the field of targets detection and identification.
群点目标隐含的空间结构化信息是空间分布分析、地图综合感兴趣的内容。
Point cluster object contains much structured information in spatial distribution, which is interesting for the research of spatial analysis and map generalization.
低信噪比条件下点目标的检测性能在很大程度上依赖于对红外背景杂波的抑制情况。
The effective detection for point target in low SNR IR images is dependent greatly on the suppression of background clutter.
基于最小分辨对比度准则，研究了天空背景下红外点目标的最大探测距离估计方法。
This paper investigates the approach to estimate the maximum detection range of an infrared point_target against sky background based on the minimum resolved contrast(MRC)criteria.
推导了点目标的激光雷达散射截面的理论公式，对标准朗伯平板点目标进行了定标。
The author calibrates the point target of standard lambert slab and derives the theoretical formula of its lidar scattering cross section.
恢复点目标(RPO)：为恢复交易而设定的时间点，数据必须在该时间点之前被恢复。
Recovery point Objective (RPO) - The point in time to which data must be restored in order to resume processing transactions.
系统发射的探测光束发散角较大时，信噪比较差，且光束扫过点目标可能出现条纹状信号过程。
For large probe beam divergence the SNR is relatively poor, and even a streaky signal process is predicted if a point target is scanned across.
在对点目标检测识别算法仿真实验分析的基础上，开发了实时运动点目标检测处理的软件系统。
According to the experimenting and analyzing of the detecting algorithm of the point targets, a real-time detecting software of the moving point targets is developed.
针对复杂背景下运动点目标检测方法存在的局限性，提出从时间空间角度检测运动目标的方法。
In view of the limitation existing in detecting moving point targets in complex background, a new detection method with detailed theory based on spatiotemporal image is presented.
融合后的图像不仅较好地保持了可见光图像的线条及边缘特征，还融合了SAR图像的点目标特征。
The fused images show the contribution of the optical image for discriminating lines and edges, while the SAR image provides an information on the detection of point targets.
由于所有性能优良的运动点目标检测算法的运算量和存贮量都很大，为了减少计算量，通常采用两步法宋检测。
All the excellent detection algorithms of the moving point target have huge calculating quantity and need large storage, so the two steps detection method is used to reduce the calculating quantity.
根据激光测距方程，引入了等效散射面积的概念，分别建立了对点目标、扩展目标和线形目标测距的理论模型。
The theoretical models of point target, extended target and line target are established based on the concept of equivalent scattering area and laser ranging equation.
本文讨论了能量受限下，以最大检测指数为最优化准则，在混响环境中缓慢起伏点目标检测的最佳信号设计问题。
This paper is concerned with the optimum waveforms foe detection in reverberation environment, under a maximum detection factor criterion with an energy constraint.
为提高目标的正确识别率，提出一种基于空间点目标红外辐射序列的自适应时延神经网络(atnn)识别方法。
The Adaptive Time-delay Neural Network (ATNN) based on exo-atmospheric space point target IR radiation sequences is proposed in order to improve the recognition rate.
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