共查询到19条相似文献,搜索用时 859 毫秒
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一种红外搜索系统中弱小目标自适应检测算法 总被引:1,自引:0,他引:1
为解决红外搜索系统中场景起伏造成的背景预测不准确这一问题,提出了一种自适应调整的空间滤波方法。该算法在估计背景的同时,对背景残差进行计算,根据残差值调整滤波参数,使背景残差趋于最小,以适应背景的起伏。当背景包含较多复杂因素时,不利于目标提取,多尺度形态学算子通过不同尺度不同形态的结构体参与计算,可以全面地估计背景,进一步抑制背景残差,再通过计算图像全局阈值,自适应分割出潜在目标。采用并行运算,可将算法实现于现场可编程器件(FPGA)上。试验结果表明:即使当场景较复杂,场景信噪比较低时,依然可以使处理后的图像信噪比大于3,从而可显著提高红外搜索系统的检测概率,实现弱小目标的检测。 相似文献
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多尺度形态算子融合图像滤波技术及滤波质量评价 总被引:1,自引:0,他引:1
针对舰载红外警戒系统的红外和电视图像,提出了一种新的海空背景下受强杂波、噪声污染的图像目标滤波算法和滤波效果的定量评价算子。算法采用多尺度的形态算子对输入的图像并行滤波,大尺度形态算子抑制图像噪声,小尺度形态算子提取目标边缘细节信息。处理后的图像进行基于树状小波帧变换的图像信息融合,融合图像可完备提取不同尺度滤波后的图像信息。针对目标检测跟踪的图像滤波算法的评价,提出了目标与背景的交叉分辨力评价算子及评价准则。仿真实验表明。该滤波算法要优于中值滤波、自适应滤波、小波变换滤波算法,滤波质量的定量评价算法是合理的、有效的。算法适用于舰载红外警戒系统。 相似文献
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针对海杂波背景下小目标检测对海情依赖性强的问题, 本文采用分数布朗运动模型对实测海杂波建模, 结合多重分形去势波动分析法确定分形参数, 分析了海杂波的单尺度、多重分形特性. 在单尺度分形的基础上, 利用表征海杂波分形特征的分数维和Hurst指数构建了分形差量, 提出了基于分形差量的小目标检测方法;在多重分形基础上, 比较了两种海杂波的高尺度多重分形特性. 结果表明, 当尺度q > 10时, 纯海杂波的多重分形参数H(q) < 0, 而存在小目标的H(q) > 0, 此差异性为高尺度分形参数的海杂波背景小目标检测提供了判定依据. 所研究的两种方法均能实现不同海情下的小目标检测. 相似文献
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针对海杂波背景下海情对小目标检测的严重影响, 本文研究了实测海杂波在分数阶Fourier变换(FRFT)域的分形特征, 分别提出了单、高尺度下的分形检测方法. 由数学定义推得, FRFT 在不同阶数和尺度情况下, 不具有一致的自相似特性, 采用多重分形趋势波动分析法确定分形参数H(q), 分析了海杂波在不同海情、距离和极化条件下的分形特征. 在单尺度基础上结合FRFT的变阶优势, 提出了阶数自适应的小目标检测方法; 高尺度条件下, 比较了不同因素对海杂波FRFT域多重分形参数的影响. 结果表明:海杂波FRFT域可用变换阶数的方法检测到湮没在复杂海情中的小信号, 检测门限多数提高200%以上, 比采用时域信号提高26.3%. H(q) 在负高尺度上具有明显的多重分形特征差异, H(q)-q曲线满足反正切分布, 纯海杂波与含目标数据的拟合幅值比分别大于1.8(HH)和1.4(VV), 为海杂波背景小目标检测提供了判定依据. 相似文献
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针对复杂的自然背景下的运动目标检测,提出了一种基于分形特征的运动目标检测算法;该算法利用目标的分形维数与自然背景分形维数的差异将目标从背景检测出来;首先应用改进的地毯覆盖法快速得到图像的分形维数,然后通过比较邻域之间分形维数的相互关系进行目标检测;实验结果表明,该方法能对复杂背景下的运动目标进行检测,由于采用分块求分形特征的方法,能有效地减少搜索目标所带来的计算量,算法过程简单、检测速度快、检测结果精确,目标与背景对比度的变化对检测结果几乎没有影响, 且噪声对该算法的检测结果影响较小;在运动目标实时检测问题上有着很好的实用价值和应用前景。 相似文献
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鉴于红外装甲目标检测中红外图像对比度低、背景复杂,导致图像的信噪比低而难于进行目标的检测,提出一种基于小波和改进的分形理论相结合的背景抑制方法。针对红外图像呈现的相关性强的特点,利用小波分析将图像中的低频缓变背景滤除,得到包含目标和强边缘杂波的图像;又由于目标分形维数对尺度的敏感程度高于边缘杂波的分形维数,提出通过计算图像在不同尺度内不规则因子的变化率来进一步抑制背景中的边缘杂波。实验表明:该算法能显著提高图像的信噪比(信噪比增益在2左右),对背景边缘有很好的抑制效果。 相似文献
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M. Agop P. E. Nica S. Gurlui C. Focsa V. P. Paun M. Colotin 《The European Physical Journal D - Atomic, Molecular, Optical and Plasma Physics》2010,56(3):405-419
Considering that the motions of the particles take place on continuous but non-differentiable curves, i.e. on fractals with
constant fractal dimension, an extended scale relativity model in its hydrodynamic version is built. In this approach, static
(particle in a box and harmonic oscillator) and time-dependent (free particle etc.) systems are analyzed. The static systems
can be associated with a coherent fractal fluid (of superconductor or of super-fluid types behavior), whose particles are
moving on stationary trajectories. The complex speed field of the fractal fluid proves to be essential: the zero value of
the real (differentiable) part specifies the coherence of the fractal fluid, while the non-zero value of the imaginary (non-differentiable
or fractal) part selects, through some “quantization” relations, the “stationary” trajectories (that may correspond to the
observables from quantum mechanics) of the fractal fluid particles. Moreover, the momentum transfer in the fractal fluid is
achieved only through the fractal component of the complex speed field. The free time-dependent systems can be associated
with an incoherent fractal fluid, and both the differentiable and fractal components of complex speed field are inhomogeneous
in fractal coordinates due to the action of a fractal potential. It exist momentum transfer on both speed components and the
“observable” in the form of an uniform motion is generated through a specific mechanism of “vacuum” polarization induced by
the same fractal potential. The analysis on the fractal fluid specifies conductive properties in the case of movements synchronization
both on differentiable and fractal scales, and convective properties in the absence of synchronization. 相似文献
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为实现无衍射光斑作为直线基准在复杂噪声背景下精确定中, 提出了一种基于相关因子的无衍射光斑图像定中算法。该算法先根据光强重心理论计算光斑中心的大致位置, 再将光斑图像转换成极坐标系下的灰度图, 并生成角频率与光斑图像空间频率相同的离散周期正弦信号, 求解其相位角并对各径向上的相位信息作均方差评价, 计算出极坐标系下理想光斑中心与实际光斑中心的相关因子, 从而达到定中无衍射光斑中心的目的。在模拟噪声环境下, 对比该算法与其他常规算法, 其结果表明:该算法抗背景噪声干扰能力强、计算耗时短, 具有稳定的亚像素定中精度。 相似文献
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Implicit integration factor (IIF) method, a class of efficient semi-implicit temporal scheme, was introduced recently for stiff reaction–diffusion equations. To reduce cost of IIF, compact implicit integration factor (cIIF) method was later developed for efficient storage and calculation of exponential matrices associated with the diffusion operators in two and three spatial dimensions for Cartesian coordinates with regular meshes. Unlike IIF, cIIF cannot be directly extended to other curvilinear coordinates, such as polar and spherical coordinates, due to the compact representation for the diffusion terms in cIIF. In this paper, we present a method to generalize cIIF for other curvilinear coordinates through examples of polar and spherical coordinates. The new cIIF method in polar and spherical coordinates has similar computational efficiency and stability properties as the cIIF in Cartesian coordinate. In addition, we present a method for integrating cIIF with adaptive mesh refinement (AMR) to take advantage of the excellent stability condition for cIIF. Because the second order cIIF is unconditionally stable, it allows large time steps for AMR, unlike a typical explicit temporal scheme whose time step is severely restricted by the smallest mesh size in the entire spatial domain. Finally, we apply those methods to simulating a cell signaling system described by a system of stiff reaction–diffusion equations in both two and three spatial dimensions using AMR, curvilinear and Cartesian coordinates. Excellent performance of the new methods is observed. 相似文献
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《声学学报:英文版》2015,(3)
Based on the problem that the generating method of random array structure is inefficient,a method is proposed to generate the random target arrays by using coaxial circular array in the polar coordinates in the premise that the array angular resolution of source identification is guaranteed.According to the principle of moving sound source identification,this work deduces the basic non-equidistance coaxial circular rings'radius,and generates target random arrays which were suitable for moving sound source identification through array partitioning,condition filtering in the polar coordinates and simulation evaluation.Finally,numerical simulation and moving car sound source identification test have been done.The analytical results show that using this method to generate random array is effective.Compared with the traditional regular arrays,the target random array has more accurate moving sound source identification performance. 相似文献
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M. Agop O. Niculescu A. Timofte L. Bibire A. S. Ghenadi A. Nicuta C. Nejneru G. V. Munceleanu 《International Journal of Theoretical Physics》2010,49(7):1489-1506
Considering that the motions of the particles take place on fractals, a non-differentiable mechanical model is built. Only if the spatial coordinates are fractal functions, the Galilean version of our model is obtained: the geodesics satisfy a Navier-Stokes-type of equation with an imaginary viscosity coefficient for a complex speed field or respectively, a Schrödinger-type of equation or hydrodynamic equations, in the case of irrotational movements. Moreover, in this approach, the analysis of the fractal fluid dynamics generates conductive properties in the case of movements synchronization both on differentiable and fractal scales, and convective properties in the absence of synchronization (e.g. laser ablation plasma is analyzed). On the other hand, if both the spatial and temporal coordinates are fractal functions, it results that, the geodesics satisfy a Klein-Gordon-type of equation on a Minkowskian manifold. 相似文献
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Fractal and self-similarity are important characteristics of complex networks. The correlation dimension is one of the measures implemented to characterize the fractal nature of unweighted structures, but it has not been extended to weighted networks. In this paper, the correlation dimension is extended to the weighted networks. The proposed method uses edge-weights accumulation to obtain scale distances. It can be used not only for weighted networks but also for unweighted networks. We selected six weighted networks, including two synthetic fractal networks and four real-world networks, to validate it. The results show that the proposed method was effective for the fractal scaling analysis of weighted complex networks. Meanwhile, this method was used to analyze the fractal properties of the Newman–Watts (NW) unweighted small-world networks. Compared with other fractal dimensions, the correlation dimension is more suitable for the quantitative analysis of small-world effects. 相似文献