IKONOS图象的城市土地利用信息提取方法研究

目前，高分辨率遥感图象正愈来愈多地应用于土地与水资源的监测和管理，其中，IKONOS图象数据因其具有较高的空间分辨率和人机交互的解译效果．在省市土地利用信息获取及在城市研究中更具有广阔的应用前景．以南京幅的IKONOS图象数据为基础．以城乡接合部的不同试验区为对象，着重讨论了高分辨率遥感图象城市土地利用信息的提取与分类方法其主要思想是先应用常用的多光谱分类算法对试验区的土地利用现状进行初始的类别划分，然后采用Majority Filtering技术获取图象的上下信息，并给你根据地物的形状特征和空间关系对初始分类结果进行校正与调整．研究结果表明，当初始的类别划分能满足一定精度时，采用本所提出的方法能进一步改善高分辨率图象城市土地利用信息的分类效果．     

基于动态长短期记忆网络的设备性能退化预测方法

针对目前基于数据驱动的旋转机械退化状态预测中时序列信息考虑不充分、寿命标签制定不合理、退化模型累计误差大等问题，提出一种融合趋势滤波、模糊信息粒化、动态长短期记忆网络（LSTM）的旋转机械退化趋势与退化区间预测方法。以振动信号为例，首先提取表达设备退化信息的特征指标，然后通过趋势滤波与模糊信息粒化提取主要退化趋势与模糊退化边界，其次利用动态LSTM进行综合性能退化预测；最后，利用网络公开的轴承训练数据集验证了本文方法的可行性与有效性。     

基于空间特征联合核稀疏表示的脑肿瘤提取方法

为了提高融合多序列MR图像应用于脑肿瘤提取时分割区域的准确性,基于核稀疏表示分类方法,联合多序列MR图像中的空间结构和灰度特征信息,提出一种空间特征联合的脑肿瘤核稀疏表示分类方法.首先构建各个类别的子字典,再用邻域滤波核稀疏表示方法对多序列脑MR图像进行分类,该邻域滤波核可以有效地将灰度特征与空间结构结合起来提高脑肿瘤提取的准确性.对国际数据库MICCAI Bra TS提供的临床和仿真数据进行分割.结果表明:与稀疏表示分类方法相比,所提出的基于空间特征联合核稀疏表示的脑肿瘤提取方法由于增加了空间结构信息,所得的提取准确率提高了5%~6%.     

基于图片特征与人脸姿态的人脸识别方法研究

针对人脸识别中在非限定条件下（如背景、光照等因素发生变化时）人脸多角度多姿态识别精度低的问题与现有基于识别模型的方法无法快速更新人脸类别,提出了基于图片特征与人脸姿态的识别方法,通过对人脸姿态的识别,最大程度的匹配人脸数据库中的人脸信息,使用VGG16卷积神经网络训练模型提取图片特征,生成特征向量,再使用支持向量机分别训练提取出的特征,与人脸数据库中信息进行比对,从而精确识别人脸。通过在Pubfig与FERET人脸库上实验结果表明,所采用的算法精度较高。     

基于图片特征与人脸姿态的人脸识别方法

针对人脸识别中在非限定条件下(如背景、光照等因素发生变化时),人脸多角度多姿态识别精度低的问题与现有基于识别模型的方法无法快速更新人脸类别,提出了基于图片特征与人脸姿态的识别方法。通过对人脸姿态的识别,最大程度的匹配人脸数据库中的人脸信息,使用VGG16卷积神经网络训练模型提取图片特征,生成特征向量;再使用支持向量机分别训练提取出的特征,与人脸数据库中信息进行比对,从而精确识别人脸。通过在Pubfig与FERET人脸库上实验,结果表明,所采用的算法精度较高。     

基于支持向量域描述的多故障诊断动态模型

为了提高多故障诊断中对新故障类别和新故障数据的适应性，提出了一种新的多故障诊断动态模型．该模型采用支持向量域描述算法（SVDD）对多类故障进行单独训练，建立独立而封闭的特征空间，满足故障类别的动态增加需要，并采用样本与各特征空间的相对距离进行了多故障的混合识别．应用在线SVDD算法，在已有的故障特征分布信息基础上，通过更新操作，学习新数据信息，从而实现了故障模式的动态调整．通过仿真和机械故障实例数据的检验，表明该模型能够动态地提取多类故障的特征信息，改善诊断学习过程的适应性．     

K近邻隶属度的P-PHD滤波多目标状态提取

在P-PHD滤波多目标状态提取中,传统的K-Means聚类方法存在需要提取峰值、聚类时间长、类簇边缘易被侵蚀等问题。针对此问题,在对一般聚类算法的研究的基础上,进一步提出了一种基于K近邻隶属度P-PHD滤波多目标状态提取算法。该算法首先通过量测与粒子的关联性,根据距离来进行量测筛选剔除虚警量测信息,估计真实目标量测类别,然后利用K近邻隶属度将粒子分配给各个估计的真实量测类别,重新分配粒子集,在新粒子集直接提取目标状态信息,从而避免粒子峰值提取过程,降低了算法的时间复杂度。仿真实验表明,所提算法与传统P-PHD滤波以及其它改进聚类算法的P-PHD滤波相比,具有状态提取精度高以及运算时间短的优点。     

多步骤分类法在土地利用/覆盖专题提取中的应用

利用遥感分类技术提取土地利用 覆盖专题信息一直是遥感应用研究的前沿 .采用多步骤分类法对龙海市土地利用 覆盖类型的专题信息进行提取 ,并对分类结果进行了验证 .该方法不仅提取的效果理想 ,实现过程实用 ,可操作性强 ,而且避免了一次划分多种类别方法在选择波段组合上的矛盾 .     

遥感影像的云及其阴影覆盖区光谱重构

以往遥感影像的云及其阴影去除方法侧重于受遮盖地物的几何特征恢复,不利于基于光谱特征的信息提取。为此,提出一种基于地物类别特征的光谱重构方法,采用两期相邻年
份相近物候期的遥感数据,借助归一化差值和决策树分类的方法,检测厚云及其阴影,并提取相应区域地表覆盖类型信息,对两时相遥感影像各波段被遮挡区的每种地物类别做线性回归分析,获取被遮挡区的重构数据。实验结果表明,该方法在恢复受云影响地物几何信息的同时,较好地实现了遮盖区地物光谱信息模拟。     

一种基于奇异值分解的带噪语音识别方法

提出了一种抗噪声的语音识别方法，用于训练和用于测试的语音信号在提取特征之前，均需经过相同的奇异值分解滤波，本文还提出了一种滤波参数的选取方法，实验证明，采用这种方法可以大幅度提高传统隐马尔可夫模型语音识别系统的抗噪声性能。     

Markedness and its Interpretation in Language Use

Language markedness is a common phenomenon in languages, and is reflected from hearing, vision and sense, i.e. the variation in the three aspects such as phonology, morphology and semantics. This paper focuses on the interpretation of markedness in language use following the three perspectives, i.e. pragmatic interpretation, psychological interpretation and cognitive interpretation, with an aim to define the function of markedness.     

低渗透非均质砂岩油藏启动压力梯度研究

理论推导与室内实验相结合,建立了低渗透非均质砂岩油藏启动压力梯度确定方法。首先借助油藏流场与电场相似的原理,推导了非均质砂岩油藏启动压力梯度计算公式。其次基于稳定流实验方法,建立了非均质砂岩油藏启动压力梯度测试方法。结果表明:低渗透非均质砂岩油藏的启动压力梯度确定遵循两个等效原则。平面非均质油藏的启动压力梯度等于各级渗透率段的启动压力梯度关于长度的加权平均;纵向非均质油藏的启动压力梯度等于各渗透率层的启动压力梯度关于渗透率与渗流面积乘积的加权平均。研究成果可用于有效指导低渗透非均质砂岩油藏的合理井距确定,促进该类油藏的高效开发。     

On Tragic Consciousness In The Works By Ernest Hemingway

As an American modern novelist who were famous in the literary world, Hemingway was not a person who always followed the trend but a sharp observer. At the same time, he was a tragedy maestro, he paid great attention on existence, fate and end-result. The dramatis personae's tragedy of his works was an extreme limit by all means tragedy on the meaning of fearless challenge that failed. The beauty of tragedy was not produced on the destruction of life, but now this kind of value was in the impact activity. They performed for the reader about the tragedy on challenging for the limit and the death.     

Achieving Unusual States of Matter Under High Pressure

正The periodicity of the elements and the non-reactivity of the inner-shell electrons are two related principles of chemistry,rooted in the atomic shell structure.Within compounds,Group I elements,for example,invariably assume the+1 oxidation state,and their chemical properties differ completely from those of the p-block elements.These general rules govern our understanding of chemical structures and reactions.Using first principles calcula-     

Exchange-Correlation and Electronic Excitation Energies from Pairing Matrix Fluctuations

We have developed an adiabatic connection to formulate the ground-state exchange-correlation energy in terms of pairing matrix linear fluctuations.This formulation of the exchange-correlation energy opens a new channel for density functional approximations based on the many-body perturbation theory.We illustrate the potential of such approaches with an approximation based on the particle-particle Random Phase Approximation(pp-RPA).This re-     

Density Functional Theory for the Response of Periodic Systems to Electric Fields Based on the Vector Potential Approach

正The electronic and nuclear(structural/vibrational)response of 1D-3D nanoscale systems to electric fields gives rise to a host of optical,mechanical,spectral,etc.properties that are of high theoretical and applied interest.Due to the computational difficulty of treating such large systems it is convenient to model them as infinite and periodic(at least,in first approximation).The fundamental theoretical/computational problem in doing so is that     

On the Thermodynamic Limit for Responses to Static Electromagnetic Fields

For molecular systems,the quantum-mechanical treatment of their responses to static electromagnetic fields usually employs a scalar-potential treatment of the electric field and a vector-potential treatment of the magnetic field.Although the potential for each field separately is associated with the choice of an(unphysical)origin,the precise choice of the origin for the electrostatic field has little consequences for the results.This is different for the     

An affordable accurate evaluation of the binding conformations predicted by molecular docking studies in bio-system

Franck-Condon factors bridge the gap between theoretical modeling and experimental observations for molecular electronic spectroscopy and electron transfer.Under the displaced harmonic oscillator approximation,multidimensional Franck-Condon factors are decomposed into a product of many one-dimensional(1D)Franck-Condon(FC)factors,and each 1D-FC factor is associated with one Huang-Rhys factor that determines the leading contribution of     

Call for Papers

<正>"The Journal of Shanghai Normal University:Mathematics"is published by Shanghai Normal University as regular issues of The Journal of Shanghai Normal University each year from 2014 in English.The editors-in-chief of the issues are professors Yuhao Cong and Maoan Han.The Journal of Shanghai Normal University was started in 1958 with     

Journal of Donghua University ( English Edition) Contents of Volume 31

正~~