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space detector相关的网络例句

查询词典 space detector

与 space detector 相关的网络例句 [注:此内容来源于网络,仅供参考]

Local invariant feature ; object recognition ; image matching ; image classification ; scale space ; affine invariant moment ; detector ; descriptor

吉林大学;刘萍萍局部不变性特征;物体识别;图像匹配;图像分类;尺度空间;仿射不变矩;检测子算法;描述子算法

During the maximum of the 23rd solar cycle, the high energy particle radiation in the South Atlantic Anomy of 860 km altitude had been detected for more than three years by the space particle composition detector.

在第23周太阳活动峰年期间,空间粒子成分探测器对860km高度的南大西洋负磁异常区高能粒子辐射进行了长达3年的连续探测。

In the light of the underlying ideas behind smart antenna and multiuser detection, a novel multi-user detector based on the parallel array constant modulus algorithm processor , and on the adaptive space-time interference cancellation algorithm, is proposed.

将智能天线与多用户检测的思想相结合,提出了以时空盲估计和时空干扰对消为基础的多用户检测算法,该算法充分利用了信号的时域恒模特性和信号时空特征。

The research interests in the centre for astrophysics and planetary science include solar system studies, astrobiology, space missions, star formation, astrochemistry, superconducting astronomical detector development, and the cosmic history of galaxy formation.

该中心研究的兴趣在天体物理学和行星科学,包括太阳系的研究,太空生物学,太空任务,恒星的形成,天体化学,超导天文探测器的研究的发展,以及银河形成的宇宙历史。

Under the assumption that the decision rule of each local detector has been given, this paper presents an optimum method for partitioning the decision space in the sense of maximizing the Bhattacharyya distance criterion at the fusion center in multisensor fusion systems.

在假定各局部检测器的决策规则已经给定以及在Bhatacharyya距离最大的意义下,对多传感器融合系统中的决策空间优化划分设计进行了研究。

The ways have been use in space for refrigeration of detector, such as radiation cooler,solid cooler, mechanical cooler etc.

到目前为止,已经成功用于空间低温制冷的方式有固体制冷、超流氦杜瓦制冷、辐射制冷以及机械制冷。

With the development of sensor in space, the requirement for performance and spectrum of detector is better.

中文摘要空间遥感技术的不断发展,对探测器的性能和光谱提出越来越高的要求。

Objective To solve the encountered problem of lack of space and dyskinesia of detector in dual energy X-ray absorptiometry system.

目的:解决骨密度仪使用中遇到的空间不足和探测器运动障碍的问题。

In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.

本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究,主要包括:首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法,改进了均值迁移方法步长取值保守的弱点,建立了快速均值迁移方法,证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法;进行了平面和3维随机分布数据集的最大概率密度搜索对比试验,试验结果表明,快速均值迁移方法大大减少了迭代次数;建立了基于快速均值迁移的目标跟踪方法,利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像,对人脸和汽车目标跟踪性能分别进行了对比试验,并进行了高噪声人脸图像目标跟踪试验,结果表明,基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能,具有很强的抗干扰能力;建立了一种新型彩色目标自动识别方法,采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算,建立了高效的搜索方法,实现了彩色目标的快速识别;将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合,建立了带有控制系统的快速目标自动识别与跟踪系统,并在不同场景下进行了目标自动识别与跟踪试验,验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。

The algorithm improved the efficiency of the linear algorithm by eliminated the reluctant detector, and at the same time ensured to cover the nonself space as much as possible.

论文还对检测器生成算法的初始检测器集合规模和漏检概率进行了测试,测试结果表明改进算法增强了原算法的完备性及可靠性。

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