Research on the Method of De-noising the Short-wave Time Signal at Low SNR

A voice enhancement algorithm based on the Empirical Mode Decomposition (EMD) and the improved spectral subtraction is proposed for the low-SNR (Signal Noise Ratio) shortwave time signal. This method is proposed to solve the problem that the shortwave time signal cannot be used for timing in complex noisy environments. The core idea of this method is to use the Hilbert-Huang Transform (HHT) algorithm to make the empirical mode decomposition on the noisy shortwave signal, and to select the intrinsic mode functions containing the shortwave signal information for the signal reconstruction by through the maximum correlation. Then, to make the spectral subtraction on the reconstructed signal to achieve the purpose of noise reduction. The experimental result shows that this method has a better noise reduction than the traditional methods.     

Re-examining urban region and inferring regional function based on spatial–temporal interaction

Urban system is shaped by the interactions between different regions and regions planned by the government, then reshaped by human activities and residents’ needs. Understanding the changes of regional structure and dynamics of city function based on the residents’ movement demand are important to evaluate and adjust the planning and management of urban services and internal structures. This paper constructed a probabilistic factor model on the basis of probabilistic latent semantic analysis and tensor decomposition, for purpose of understanding the higher order interactive population mobility and its impact on urban structure changes. First, a four-dimensional tensor of time (T)?×?week (W)?×?origin (O)?×?destination (D) was constructed to identify the day-to-day activities in three time modes and weekly regularity of weekday/weekend pattern. Then we reclassified the urban regions based on the space clustering formed by the space factor matrix and core tensor. Finally, we further analysed the space–time interaction on different time scales to deduce the actual function and connection strength of each region. Our research shows that the application of individual-based spatial–temporal data in human mobility and space–time interaction study can help to analyse urban spatial structure and understand the actual regional function from a new perspective.     

Subsurface target recognition in Utopia Planitia of Mars by Tianwen-1 FP-SPR simulation

As a cold and dry planet, Mars contains water resources in the form of water ice, so that the electromagnetic waves can be transmitted to the deep underground to get the information of the topography and subsurface geological structure. Subsurface penetrating radar(SPR) can be widely used in deep space exploration for a long time because of its non-destructive detection mode and its working characteristics not limited by visible light. It is an important type of equipment for detecting the subsurface structure of planets. Orbiter radar is mainly used in Mars exploration. However, because of its low resolution, it is difficult to describe the near surface structure, so there is a lack of radar data which can reflect the shallow information. In this paper, a three-dimensional near surface model of Utopia Planitia on Mars is established. In order to make the simulation results more reasonable, the key factors such as topographic relief, subsurface rocks and water ice, and the variation of dielectric constant in different layers are taken into account. Then the full polarization forward modeling is carried out by using the three-dimensional finite-difference time-domain method. The acquired full polarimetric subsurface penetrating radar(FP-SPR) data with noise is preprocessed and further processed by Pauli decomposition. The underground reflection can be picked up more clearly from the Pauli decomposition results. This work is helpful to identify more details of subsurface structures and provides a reference for the measured data in the future.     

绍兴镜湖生态旅游开发与保护

以绍兴镜湖国家城市湿地公园为案例,简要分析了镜湖开发与保护中存在的城市发展、原住居民生产生活、生态系统保护与游客利益四者之间的博弈关系,重点对其生态旅游开发与保护模式进行了总结,认为绍兴镜湖生态旅游开发与保护是"B"模式 "国家公园"模式的融合.文章还总结了镜湖生态旅游开发主要从分级保护、旅游项目开发生态性、湿地生境恢复、旅游交通组织、客流量控制及生态农业模式等方面协调开发与保护的关系.提出了今后城市湿地旅游开发与保护的研究方向.     

西太平洋台风对上海地区钻孔应变的低频扰动特征分析

基于上海佘山台四分量钻孔应变仪在6次西太平洋台风期间的观测记录,利用小波分解、优势振动方向等处理方法提取出台风所激发的显著低频扰动信号,并详细分析扰动信号在时频域及空间域的表现特性.结果显示:在低频区间,台风激发的扰动信号优势周期为2～4 min,信号能量随台风进程而变化,并主要与台风量级、台风中心的位置(海上或陆域)...     

雷达-雨量计联合估测区域降水量方法研究Ⅰ——模式集成法的提出

天气雷达估测区域降水量是其应用研究的重要领域,不断研究改进雷达估测区域降水量精度和稳定度是雷达气象工作的重要目标。文章回顾了集合预报理论基础及其发展概况,总结分析集合预报方法、产品表现形式等。对前期雷达估测区域降水量的8种方法,从基本原理和特点等方面进行了系统分析。对该理论在雷达估测区域降水领域的适用性进行了分析,阐述了集合预报理论在该领域应用的概念模型,并提出了两种集成估测区域降水量的新方法,为下一步的应用研究提供了理论支撑。     

利用极化SAR数据进行土地覆盖分类研究

基于相关矩阵特征向量的目标分解将地物回波复杂的散射过程分解成相互独立的三种单一散射分量:单向散射、双向散射和交叉散射,分别对应各自的目标相关矩阵。目标分解技术降低了散射回波之间的相关性,有利于分析地物散射机理,有助于提高分类精度。对荷兰F levoland地区全极化数据进行分解,经过试验和相关性分析,选用7种数据形成多参数数据组合,对其进行最大似然监督分类,同时进行常规三种极化加相位差的分类和基于复W ishart分布的最大似然分类,逐像元计算混淆矩阵,分析对比三种分类结果的精度,试验表明:相对于常规数据组合分类,基于复W ishart分布的监督分类可以小幅度提高分类精度,而利用目标分解得到多参数组合数据进行分类则有大幅度的提高。     

北太平洋副热带模态水形成区潜沉率的年际变化及其机制

根据Huang和Qiu 1995年的潜沉率计算公式,采用同化的海洋模式资料和海洋-大气界面的通量观测资料,计算了北太平洋副热带海域3个模态水形成区逐年的潜沉率,研究了潜沉率产生年际变化的机制.研究结果表明:西部、中部和东部3个模态水形成区潜沉率的年际变化主要周期分别为6,2~5和2 a;北太平洋副热带模态水的3个形成区的潜沉率都发现年代际的变化特征:在1985年以前,西部模态水形成区的潜沉率年际变化最为显著,但1985后年际变化振幅明显减小;在中部模态水形成区,1975~1992年间潜沉率随时间的变化的振幅较大,潜沉率在这段时间内的平均值也达到33.99 m/a,而在1970~1975年间和1993~1998年间潜沉率都小于20 m/a;西部副热带模态水形成区的潜沉率的年际变化与这里海面的净热通量的年际变化有很好的相关性,中部副热带模态水形成区潜沉率的年际变化则取决于局地Ekman流的年际变化,而在东部模态水形成区局地风应力旋度的变化直接影响潜沉率的大小.     

大深度载人潜水器低速大漂角模糊滑模航向控制研究

通过模型试验测量大深度载人潜水器低速大漂角运动时所受到的非线性水动力。基于一种新的模糊滑模控制策略,为潜水器设计了鲁棒航向控制器。在不同的漂角子区间内分别设计局部镇定的滑模控制器,然后通过Takagi-Sugeno模糊推理系统将它们光滑连接,得到模糊滑模控制。仿真计算结果充分显示了该控制策略的有效性。     

珠穆朗玛峰自然保护区植被变化分析

利用1981～2001 年美国NASA Pathfinder NOAA/NDVI 数据, 以1∶100 万植被图为基础, 结 合气温降水资料、DEM数据和2000 年人口空间化数据, 研究了珠穆朗玛峰自然保护区植被变化 空间格局和海拔梯度特征及其影响因素。结果表明: ①1981～2001 年珠峰自然保护区植被变化以 稳定为主, 有5.09%的区域发生严重退化, 13.34%的区域发生退化, 54.31%的区域保持稳定, 26.31%的区域变好以及0.95%的区域植被显著变好。退化和严重退化区域主要分布在保护区南 部, 国境沿线; 植被变好地区集中分布在保护区北部, 雅鲁藏布江南岸。稳定区域位于退化区域和 变好区域之间。植被退化区域主要分布在海拔2400m ~ 4000m 带上。②针叶林、针阔混交林和灌 丛构成了区域植被退化的主体。③从空间上看, 主要是气温变化对植被变化有影响。在海拔梯度 上, 气温变化和坡度共同影响植被变化。④在珠峰自然保护区内, 人类不合理的资源利用方式造 成了部分地区的植被退化。