An alternating direction algorithm for matrix completion with nonnegative factors

This paper introduces an algorithm for the nonnegative matrix factorization-and-completion problem, which aims to find nonnegative low-rank matrices X and Y so that the product XY approximates a nonnegative data matrix M whose elements are partially known (to a certain accuracy). This problem aggregates two existing problems: (i) nonnegative matrix factorization where all entries of M are given, and (ii) low-rank matrix completion where nonnegativity is not required. By taking the advantages of both nonnegativity and low-rankness, one can generally obtain superior results than those of just using one of the two properties. We propose to solve the non-convex constrained least-squares problem using an algorithm based on the classical alternating direction augmented Lagrangian method. Preliminary convergence properties of the algorithm and numerical simulation results are presented. Compared to a recent algorithm for nonnegative matrix factorization, the proposed algorithm produces factorizations of similar quality using only about half of the matrix entries. On tasks of recovering incomplete grayscale and hyperspectral images, the proposed algorithm yields overall better qualities than those produced by two recent matrix-completion algorithms that do not exploit nonnegativity.     

Nondestructive testing of external defects on Nanguo pear

In view of the common pests and diseases and irregularly shaped fruits of Nanguo pear, this paper fused the spectral information and image features to realize the rapid nondestructive testing and recognition of the external defects on Nanguo pear by hyperspectral imaging technology. Backpropagation neural network and support vector machine model was established to identify external defects, which are commonly used in classification and pattern recognition. The testing results show that recognition effect of support vector machine is better than backpropagation neural network. Among them, the recognition accuracy of fruits damaged by insects and rotten fruits of Nanguo pears reaches 100%. This study provides a theoretical basis for developing online grading system and quality detection of Nanguo pear based on multispectral imaging technique.     

Blood oxygenation monitoring using hyperspectral imaging after flap surgery

In this paper, we present a new method for the assessment of skin flap perfusion based on the non-invasive monitoring of skin blood oxygenation using hyperspectral imaging. This method consists of generation of oxyhemoglobin and deoxyhemoglobin maps in skin flap from hyperspectral image using an analytic model based on Beer–Lambert law. The results obtained on a fasciocutaneous sural flap have revealed that the oxyhemoglobin and deoxyhemoglobin maps facilitate the visualization of some differences between different areas of the flap, an aspect that clinical examination fails to do. In conclusion, the proposed method could provide a new option for a more accurate assessment of flap survival.     

基于固体腔扫描法布里-珀罗干涉仪的大气温度绝对探测方法研究

大气温度是描述大气状态的重要基本特征参量之一.目前,基于Rayleigh散射的大气温度探测方法多应用于大气温度的相对探测,即温度反演时需要响应函数和校准程序.本文提出了利用固体腔扫描式法布里-珀罗干涉仪进行大气Rayleigh散射谱型的精细探测方法和残余米散射信号的抑制方法.根据Rayleigh散射谱特点,针对固体腔扫描式法布里-珀罗干涉仪的自由光谱区、固体腔几何长度、腔体介质类型、半高全宽、腔体反射率、扫描间隔等参数进行了优化设计.利用优化参数的固体腔扫描式法布里-珀罗干涉仪获取Rayleigh散射谱上离散点信息,并采用多项式插值方法获得拟合谱型,与根据标准大气模型和S6模型获得的理论谱型进行比对,大气温度探测不确定度小于0.8 K.当信噪比为10时,白天与夜晚的探测距离分别为4.5和7.9 km.该方法可实现大气温度廓线的全天时和高精度绝对探测,并对同类高光谱激光雷达分光系统研究具有借鉴意义,为我国高光谱激光雷达陆基及星载应用提供了一套可行的分光系统解决方案.     

方孔障碍物对瓦斯火焰传播影响的实验与大涡模拟

为揭示置障管道内甲烷/空气预混火焰传播特性,运用高速摄影技术对甲烷/空气预混火焰的形状变化和火焰前锋的速度特性进行实验,并利用大涡模拟对管道内的流场结构进行数值分析。结果表明:置障管道内依次出现了球形火焰、指尖形火焰及“蘑菇”状火焰,且“蘑菇”状火焰出现之后,火焰开始反向传播;“蘑菇”状火焰是双涡旋结构与火焰前锋面相互作用的结果,而火焰的反向传播是由流场中出现逆流结构引起的;障碍物对火焰前锋有明显的加速作用;大涡模拟成功再现了实验中观察到的火焰形状、火焰前锋速度及流场结构,说明大涡模拟适用于置障管道内预混火焰传播特性的研究。     

基于线性回归算法的春玉米叶面积指数的冠层高光谱反演研究

利用辽宁锦州地区2013年生长季不同土壤水分控制条件下的春玉米冠层高光谱数据,及对应的植株叶面积指数(leaf area index,LAI)数据,分析在不同发育期内不同生长状况下的春玉米冠层高光谱特征及其与植株叶面积指数的关系。采集并计算共313组有效样本,包括350～2 500 nm波段范围光谱的反射率、反射率倒数的对数、反射率一阶导数及LAI,应用多元逐步线性回归法和偏最小二乘回归法,对剔除了受大气水分影响较为严重光谱波段的其他波段数据进行降维,构建叶面积指数的全波段冠层高光谱数据模型,并进行精度检验与比较。结果表明,春玉米LAI与光谱反射率在可见光波段(350～680 nm)、红外波段(1 430～1 800和1 950～2 450 nm)均呈显著的负相关;反射率倒数的对数在对应区间为显著的正相关;反射率一阶导数则在可见光和近红外波段(350～1 350 nm)存在较显著相关波段。三种全波段冠层高光谱数据在春玉米LAI的线性回归中,偏最小二乘法在以冠层反射率为自变量的模型构建中,比多元逐步线性回归拟合度好,其总均方根误差为0.480 7;以冠层光谱反射率的倒数的对数及一阶导数为自变量,应用逐步线性回归法建模,拟合度较好,其总均方根误差分别为0.333 5和0.348 8;三种光谱数据的春玉米LAI两种回归算法中,以冠层反射率倒数的对数为自变量,应用逐步线性回归方法建模的拟合度最佳。     

“普通化学实验”网络教学体系的建设与应用

介绍了"普通化学实验"网络教学体系的建设,其着重于多媒体实验室构建、实验内容精选与加工、网络教学平台和数据处理系统的建立。实践表明,网络教学体系具有工作强度低,实验效率高,展示直观清晰,成绩评判公正,学习时空延展等优势,对完善"普通化学实验"教学模式具有重要意义。     

改进的盲解卷积技术在远距离激光光斑图像复原中的应用

为了提高外场实验中远距离测量激光光斑位置的精度,提出利用盲解卷积技术对光斑图像进行事后复原来削弱大气湍流对光斑成像的影响。首先,介绍了经典盲解卷积算法,分析了其不足之处,并提出了一种改进的盲解卷积算法。为了提高目标函数的收敛性和收敛速度,在TV(Total Variation)目标函数加入惩罚项,并对交替迭代法进行改进。然后,用数学方法证明了改进的盲解卷积算法的收敛性。最后,进行了仿真实验。与传统算法相比,用改进算法恢复的图像信噪比至少提升了15%。文中给出了外场试验图像的实际复原效果。     

先进焦平面与光谱成像技术现状

深入分析先进的焦平面技术和光谱成像技术的发展趋势,为探测器及光谱成像仪的研究提供参考。对光谱成像技术的现状和发展趋势、焦平面技术、先进焦平面技术对光谱成像系统技术的推动作用三个方面进行详细的分析总结,认为焦平面技术向着高性能、大规模面阵规格、高灵敏度、宽谱响应的方向发展;并推动光谱成像系统向着高分辨率、宽幅、多波段、更短重访周期和简化系统方向发展。成像光谱仪的发展趋势和需求指明焦平面技术的发展方向,同时焦平面技术的发展也会引领成像光谱仪系统进步和革新。     

一种高清数字视频近眼立体显示系统设计

根据微型AM-OLED显示器的技术原理,提出了以双HDMI接口为视频输入接口、PIC16F1825为MCU控制芯片,以及双微型AM-OLED为显示器的立体显示系统的电路设计方案,主控芯片通过IIC串行总线对各模块寄存器进行配置。利用人眼的双目视差成像原理,通过配置HDMI解码芯片ADV7611和AM-OLED微显芯片的寄存器,使交错隔列立体视频源的奇数列和偶数列分离,视频源的奇数列和偶数列分别显示在左右眼相对应的AM-OLED显示器上,最终实现了立体显示。经测试,验证了系统方案的有效性。