Speckle correlation for the analysis of random processes at rough surfaces

The importance of technological processes like corrosion, ablation or deposition causes interest in the quantitative monitoring of changes at rough surfaces. Thus, there is a need for effective methods to measure the statistical parameters characterizing changes in the profile or the material composition of such objects. The speckle field scattered from the surface is used as information carrier and its change is measured by correlation. This is realized by sophisticated data acquisition and digital processing techniques. An important issue is the interpretation of the correlation output in terms of statistical parameters describing the surface change. For many random surfaces a geometrical relation between surface profile and optical phase proves satisfactory. This allows to determine the standard deviation of the profile change. For a verification, speckle decorrelation in model surfaces of known deviation is measured. The paper introduces the speckle correlation concept, outlines some history and current setups and describes methods for data evaluation. The reliability of the quantitative interpretation of the speckle decorrelation is demonstrated. The method is illustrated by studies of metal corrosion and material removal in the cleaning of historical objects by laser ablation.     

Scaling units via the canonical correlation analysis in the DEA context

This paper deals with the evaluation of decision making units which have multiple inputs and outputs. A new method (CCA/DEA) is developed where the Canonical Correlation Analysis (CCA) is utilized to provide a full rank scaling for all the units rather than a categorical classification (for efficient and inefficient units) as done by the Data Envelopment Analysis (DEA). The CCA/DEA approach is an attempt to bridge the gap between the frontier approach of DEA and the average tendencies of statistics (econometrics). Nonparametric statistical tests are employed to validate the consistency between the classification from the DEA and the postclassification that was generated by the CCA/DEA.     

基于结构光投影的二维S变换轮廓术

S变换是一种集合了窗口傅里叶变换和小波变换优点的时频分析技术,目前一维S变换已成功应用于结构光投影的条纹相位解调中。由于二维S变换可以对图像在两个方向上进行时频分析,具有更优于一维S变换的分析和处理能力。为了完善S变换的条纹相位解调理论,将二维S变换方法引入到基于结构光投影的三维光学测量中,研究了二维S变换在条纹相位解调中的原理及应用,给出了详尽的理论分析,并同一维S变换结果进行了比较。模拟和实验都表明,在条纹图解相中,二维S变换比一维S变换提取的相位精度更高,即使在存在较严重噪声污染的情况下也表现出良好的可靠性,体现出二维S变换提取相位的优势。     

兴城地区岩石光谱特征与物性参数、金属元素间响应关系研究

岩石物性参数、元素含量和光谱特征三者之间的相互关系并非独立存在, 研究三者之间的相互关系,对于探索通过遥感信息进行岩石矿物成分、物性参数的定量反演方法奠定基础。采集了兴城地区590块岩样本,分析其物性参数（密度、介电常数、电阻率、磁化率）、金属成分含量（Fe, Ti, V, Mn, Zr, Co, Zn, Nb, Bi, Pb）以及岩石光谱之间的关系。将各物化参数与原始光谱、光谱吸收深度、光谱小波包分解后的高低频做相关性分析,找出各物化参数影响光谱吸收和反射的特征波段,探究关系密切的参数。该研究为岩石岩性分类、某种金属元素和物理特性的反演以及用某种参数来预测关系密切的参数奠定了基础,取得如下结论：（1）获得了火成岩中Fe,Ti,Mn,V,Zn,Bi和Pb等元素的特征谱带,其中Fe元素含量更高,与光谱的相关性更显著。在0.4和0.54 μm波段附近存在Fe的特征反射波段,1.0~1.5 μm波段范围内存在Fe元素的特征吸收波段;在0.4~0.55和0.6~0.65 μm波段范围内,Ti元素与光谱的相关性更显著,在2.28 μm波段附近存在Ti的特征吸收波段;在0.41 μm波段附近存在Mn的特征反射波段;火成岩、沉积岩V元素与光谱相关性差异性较大,在0.76,0.81,0.89,0.95 μm波段附近可能存在火成岩的特征吸收波段和沉积岩的特征反射波段;沉积岩的Zn元素含量与光谱的相关性比火成岩要显著,在0.41,1.36,1.59 μm波段附近可能存在火成岩Zn的特征反射波段,在2.34 μm波段附近可能存在沉积岩Zn的特征波段;2.14 μm波段附近,Bi元素对沉积岩光谱的吸收有一定的作用;Pb的特征谱带可能存在于0.45,0.54,2.29 μm附近;（2）在岩石各物理特性和光谱的关系研究中,在0.57~0.85 μm波段范围内,密度对光谱有很好的吸收反射特征,在0.53 μm波段附近,磁化率使光谱有较强的反射,在1.08 μm波段附近,磁化率使光谱产生较强的吸收;电阻率和光谱的相关关系与密度和光谱的相关关系极为相似;（3）在岩石各物性参数间的关系中发现,密度和电阻率呈显著正相关的关系;（4）在岩石各物性参数与金属元素的关系中研究发现,密度与各金属元素相关性较弱;磁化率与Fe和Ti元素呈显著的正相关关系;电阻率与各金属元素间的相关关系较弱;介电常数与各金属元素含量呈正相关关系,其中与V,Zn,Bi元素的相关关系最显著;（5）在金属元素间,Fe与Ti有较显著的正相关关系,Ti与Fe,V元素间有较强的正相关关系,Zn和Pb存在较强的正相关。     

微小层片型缺陷的超声非线性区域检测技术*

针对微小层片型缺陷的超声检测效率低、检测能力弱、易受主客观因素干扰的问题,提出弹簧扁钢中微小层片型缺陷的非线性超声区域检测技术。首先,优化探头夹持装置并提出区域检测方法,提取稳定可靠的检测信号;其次,提出相对非线性系数均值及波动系数表征缺陷分布;最后,基于斯皮尔曼次序相关系数分析扁钢各类缺陷与非线性超声系数均值的相关性。研究结果显示:两种非线性超声特征参数中的波动系数具有更高的缺陷敏感度,可表征扁钢中缺陷分布;波动系数与扁钢中微小层片型缺陷的相关系数比与体积型缺陷的相关性系数大得多,特别适用于微小层片型缺陷的检测。     

Array-enhanced logical stochastic resonance subject to colored noise

This paper proposes an approach that uses a parallel array to improve the reliability and robustness of logical stochastic resonance subject to colored noise. The experimental results demonstrate that (i) the increase of array size can extend the optimal range of noise intensity and increase the maximum probability of obtaining correct logic operation. (ii) The optimal range of noise correlation time is broadened with the increase of array size. (iii) The main difference between logical stochastic resonance subject to white noise and colored noise is that the increase of noise correlation time broadens the optimal range of noise intensity when the stochastic noise is colored noise. At the same time, the maximum probability of obtaining correct logic operation is close to 1. Therefore, reliable and robust logic gate can be realized under a certain array size.     

Coherent wave propagation in viscoelastic media with mode conversions and pair-correlated scatterers

The influence of correlation between scatterers on coherent waves propagation is studied in the case of a viscoelastic medium hosting a random configuration of either spherical or cylindrical scatterers. A distinction is made between the hole correction and the additional disturbances to the pair correlation function beyond the excluded volume via a radial and concentration dependent Ursell function. The effect of the Ursell function on the effective wavenumber is shown to be of order 3 in concentration and order 2 in scattering, and the corresponding formulas generalize those of Caleap et al. (2012) for an ideal fluid host medium. The whole order 3 in concentration is calculated; its other part is of order 3 in scattering. Both parts of the order 3 in concentration are the sum of two terms, one related to mode conversions, the other not. The numerical study is performed mostly for aluminum spheres in epoxy, which is a rather illustrative situation of the different phenomena that participate to the coherent propagation. The Ursell function effect is enhanced at low frequency, while counteracted partly at higher frequency, by the other term of order 3 in concentration. The most visible effects of both terms are on the attenuation. The Ursell term related to mode conversions is larger than the one with no mode conversions included in the low frequency regime.     

基于Hilbert变换的水下多源声信号频率的相干探测

为实现水下中低频声信号的探测识别,通过研究水下多声源相干探测信号的特征,理论上给出了相干探测信号频谱混叠情况下的特征表达式,并提出了一种基于Hilbert变换的信号解调处理方法,实现了水下多声源相干探测信号频谱混叠情况下各声源发声频率的解调.该方法将探测信号经过滤波平滑处理之后进行Hilbert变换,得到信号的解析形式,然后对解析信号模值的平方进行二次滤波平滑等处理,分离混叠在一起的频带,将得到的信号进行频谱分析,根据频移值计算得到水下各个声源的发声频率.在光学暗室下搭建激光相干探测系统,对2~6kHz的水下声信号进行实验,实验结果表明,该方法可以有效分离探测信号中混叠在一起的信号频带,并准确提取各水下声信号的发声频率,频率提取重复性不大于2.5Hz.     

Robust infrared target tracking using discriminative and generative approaches

The process of designing an efficient tracker for thermal infrared imagery is one of the most challenging tasks in computer vision. Although a lot of advancement has been achieved in RGB videos over the decades, textureless and colorless properties of objects in thermal imagery pose hard constraints in the design of an efficient tracker. Tracking of an object using a single feature or a technique often fails to achieve greater accuracy. Here, we propose an effective method to track an object in infrared imagery based on a combination of discriminative and generative approaches. The discriminative technique makes use of two complementary methods such as kernelized correlation filter with spatial feature and AdaBoost classifier with pixel intesity features to operate in parallel. After obtaining optimized locations through discriminative approaches, the generative technique is applied to determine the best target location using a linear search method. Unlike the baseline algorithms, the proposed method estimates the scale of the target by Lucas-Kanade homography estimation. To evaluate the proposed method, extensive experiments are conducted on 17 challenging infrared image sequences obtained from LTIR dataset and a significant improvement of mean distance precision and mean overlap precision is accomplished as compared with the existing trackers. Further, a quantitative and qualitative assessment of the proposed approach with the state-of-the-art trackers is illustrated to clearly demonstrate an overall increase in performance.     

Assessment of Digital Image Correlation as a method of obtaining deformations of a structure under fluid load

Digital Image Correlation (DIC) is employed for the measurement of full-field deformation during fluid–structure interaction experiments in a wind tunnel. The methodology developed for the wind tunnel environment is quantitatively assessed. The static deformation error of the system is shown to be less than 0.8% when applied to a curved aerofoil specimen moved through known displacements using a micrometre. Enclosed camera fairings were shown to be required to minimise error due to wind induced camera vibration under aerodynamic loading. The methodology was demonstrated using a high performance curved foil, from a NACRA F20 sailing catamaran, tested within the University of Southampton RJ Mitchell, 3.5 mx2.4 m, wind tunnel. The aerodynamic forces induced in the wind tunnel are relatively small, compared with typical hydrodynamic loading, resulting in small deformations. The coupled deflection and blade twist is evaluated over the tip region (80–100% Span, measured from the root) for a range of wind speeds and angles of attack. Steady deformations at low angles of attack were shown to be well captured however unsteady deformations at higher angles of attack were observed as an increase in variability due to hardware limitations in the current DIC system. It is concluded that higher DIC sample rates are required to assess unsteady deformations in the future. The full field deformation data reveals limited blade twist for low angles of attack, below the stall angle. For larger angles, however, there is a tendency to reduce the effective angle of attack at the tip of the structure, combined with an unsteady structural response. This capability highlights the benefits of the presented methodology over fixed-point measurements as the three dimensional foil deflections can be assessed over a large tip region. In addition, the methodology demonstrates that very small deformations and twist angles can be resolved.