Morphological center operator for enhancing small target obtained by infrared imaging sensor

Infrared small target in image obtained by infrared imaging sensor is usually different from the surrounding regions, which is the important region in infrared image for different applications. However, the infrared small target is dim and embedded in clutter background, which makes the small target difficult to be detected or recognized. So, it is important to enhance infrared small target. Morphological center operator could smooth important image features, which may be well used for infrared small target enhancement. To well enhance infrared small target, a morphological center operator based method is proposed. The morphological center operator is specified to suppress most of the background of the infrared image through the strategy of feature extraction. Then, the infrared small target is well enhanced. Experimental results show that, the proposed method performs well for enhancing infrared small target and the performance is better than some other methods. So, the proposed method could further improve the performance of infrared imaging sensor.     

Mechanisms of browning development in aggregates of marine organic matter formed under anoxic conditions: A study by mid-infrared and near-infrared spectroscopy

In this paper we analyze some chemical aspects concerning the browning development associated to the aggregation of marine organic matter (MOM) occurring in anoxic conditions. Organic matter samples obtained by the degradation of different algal samples were daily taken to follow the evolution of the aggregation process and the associated browning process. These samples were examined by Fourier transform mid infrared (FTIR) and Fourier transform near infrared (FTNIR) spectroscopy and the colour changes occurring during the above mentioned aggregation process were measured by means of Colour Indices (CIs). Spectral Cross Correlation Analysis (SCCA) was applied to correlate changes in CI values to the structural changes of MOM observed by FTIR and FTNIR spectra which were also submitted to Two-Dimensional Hetero Correlation Analysis (2HDCORR). SCCA results showed that all biomolecules present in MOM aggregates such as carbohydrates, proteins and lipids are involved in the browning development. In particular, SCCA results of algal mixtures suggest that the observed yellow–brown colour can be linked to the development of non enzymatic (i.e. Maillard) browning reactions. SCCA results for MOM furthermore suggest that aggregates coming from brown algae also showed evidence of browning related to enzymatic reactions. In the end 2HDCORR results indicate that hydrogen bond interactions among different molecules of MOM can play a significant role in the browning development.In this study the combination of spectroscopic techniques such as FTIR and FTNIR with Colour Indices measurements shows a peculiar ability to improve the knowledge of the complex mechanisms related to the aggregation of marine organic matter and its colour development under anoxic conditions such like those present in the marine environments at high depth.     

高功率脉冲电子束辐照SiO$lt;sub$gt;2$lt;/sub$gt;的光学和激光损伤性能

研究了不同剂量的60 kW高功率脉冲电子束辐照对高纯熔石英玻璃的微观结构、光学性能和激光损伤特性的影响规律. 光学显微图像表明, 辐照后熔石英样品由于热效应导致表面破裂, 裂纹密度和尺寸随辐照剂量增加而增大, 采用原子力显微镜分析表面裂纹的微观形貌, 裂纹宽度约1 um, 同时样品表面分布着大量尺寸约0.1–1μm的碎片颗粒. 吸收光谱测试表明, 所有样品均在394 nm处出现微弱的吸收峰, 吸收强度随着电子束辐照剂量增大呈现先增加后减小的趋势. 荧光光谱测试发现辐照前后样品均有3个荧光带, 分别位于460, 494和520 nm, 荧光强度随辐照剂量的变化趋势与吸收光谱一致. 利用355 nm激光研究了不同剂量电子束辐照对熔石英激光损伤阈值的影响, 结果表明熔石英的损伤阈值随着辐照剂量的增加而降低. 在剂量较低时, 导致熔石英激光损伤阈值下降的原因主要是色心缺陷; 剂量较高时, 导致损伤阈值降低的原因主要是样品表面产生的大量微裂纹和碎片颗粒对激光的调制和吸收. 关键词： 熔石英 电子束辐照 色心 激光损伤阈值     

Ka波段扩展互作用速调管的设计

利用粒子模拟(PIC)三维软件,在Ka波段,采用扩展互作用谐振腔技术和谐振腔加载技术来实现高增益和宽频带,对扩展互作用速调管进行了设计和粒子模拟仿真,同时采用二维电子光学软件EGUN对电子枪和聚焦系统进行了设计和优化,聚焦系统使用的是钐钴永磁聚焦。在工作电压9 kV,束流0.15 A的条件下,输入功率为200 mW时,中心频率35.5 GHz,3 dB带宽为410 MHz,最小增益为32.5 dB,得到效率为26%,其平均功率为355 W。     

结合边缘信息和图像特征信息的曲波域遥感图像融合

曲波变换是一种更适合于图像处理的多尺度几何分析方法,具有比小波变换更强的方向选择和辨识能力,而且对图像边缘的表达更优于小波.结合色度-饱合度-亮度变换将其应用于合成孔径雷达图像和多光谱图像融合可以更好地表示图像中的有用特征.首先对多光谱图像进行色度-饱合度-亮度变换,得到亮度分量I,对雷达图像和I分量进行曲波变换得到粗尺度系数和细节尺度系数;将雷达图像的粗尺度系数和细节尺度系数进行叠加,计算归一化的曲波系数直方图,定义边缘有效因子,利用合成孔径雷达图像的特征信息将曲波变换系数分为均匀区、非均匀区和亮点目标区.然后采用相应的融合规则对融合图像的粗尺度系数进行处理,对细节尺度系数采用简单的直接取大方法,逆变换后得到新的亮度分量.用新的亮度分量替代原亮度分量进行逆色度-饱合度-亮度变换得到最终融合结果,利用统计类指标对融合结果进行评价.实验结果表明,该方法在保持光谱信息和提高空间分辨率上都有较好的效果.     

嵌入式镀膜光栅的数值模拟研究

嵌入式镀膜光栅是将平行四边形的介质膜层,以亚波长量级的周期嵌入波导中.针对该光栅在不同偏振态、不同角度入射下的各级衍射效率问题,本文基于严格耦合波分析理论,对该光栅进行建模与数值分析.结果表明,在TE模入射时,该光栅的一级衍射效率可随膜厚在[0, 37%]内变化,其余非零级次的衍射效率低于2%.衍射特性可以满足平视器成像的效率递增要求,同时可以减少能量的损失与杂散成像光线.当入射光束的角度在纵向[45 °,70 °]、横向[-15 °,15 °]内变化时,一级衍射效率的变化平稳,可以保持平视器不同视场的成像能量均匀.针对入射光偏振态、光栅材料、嵌入膜层倾角、光栅周期对衍射特性的影响,给出了相应的数值分析,可为波导全息平视器中衍射元件的制作提供理论指导.     

Clustering approaches for dealing with multiple DNA microarray datasets

This paper centres on clustering approaches that deal with multiple DNA microarray datasets. Four clustering algorithms for deriving a clustering solution from multiple gene expression matrices studying the same biological phenomenon are considered: two unsupervised cluster techniques based on information integration, a hybrid consensus clustering method combining Particle Swarm Optimization and k-means that can be referred to supervised clustering, and a supervised consensus clustering algorithm enhanced by Formal Concept Analysis (FCA), which initially produces a list of different clustering solutions, one per each experiment and then these solutions are transformed by portioning the cluster centres into a single overlapping partition, which is further analyzed by employing FCA. The four algorithms are evaluated on gene expression time series obtained from a study examining the global cell-cycle control of gene expression in fission yeast Schizosaccharomyces pombe.     

Call center service process analysis: Bayesian parametric and semi-parametric mixture modeling

The main focus of the call center research has been on models that assume all input distributions are known in queuing theory which gives birth to staffing and the estimation of operating characteristics. Studies investigating uncertainty of the input distributions and its implications on call center management are scarce. This study attempts to fill this gap by analyzing the call center service distribution behavior by using Bayesian parametric and semi-parametric mixture models that are capable of exhibiting non-standard behavior such as multi-modality, skewness and excess kurtosis motivated by real call center data. The study is motivated by the observation that different customer profiles might require different agent skill sets which can create additional sources of uncertainty in the behavior of service distributions. In estimating model parameters, Markov chain Monte Carlo methods such as the Gibbs sampler and the reversible jump algorithms are presented and the implications of using such models on system performance and staffing are discussed.     

Explicit estimates on the torus for the sup-norm and the dissipative length scale of solutions of the Swift–Hohenberg Equation in one and two space dimensions

In this work we have obtained explicit and accurate estimates of the sup-norm for solutions of the Swift–Hohenberg Equation (SHE) in one and two space dimensions. By using the best (so far) available estimates of the embedding constants which appear in the classical functional interpolation inequalities used in the study of solutions of dissipative partial differential equations, we have evaluated in an explicit manner the values of the sup-norm of the solutions of the SHE. In addition we have calculated the so-called time-averaged dissipative length scale associated to the above solutions.