ECM算法的多视SAR影像分割

多视SAR影像像素强度通常建模为Gamma分布,其形状参数为常数(视数)。实验表明,多视SAR影像分割时,设Gamma分布的形状参数为变量可取得更好的分割结果。由于Gamma分布中形状参数以Gamma函数的形式出现,利用EM算法求解时无法获得形状参数的解析解。为此,本文提出了一种基于Expectation/Conditional Maxinnization(ECM)算法的多视SAR影像分割方法。利用ECM算法估计最大化后验概率条件下的Gamma分布参数及表征最优多视SAR影像分割的标号场实现。采用模拟和真实多视SAR影像验证提出算法。实验结果表明,Gamma分布的形状和尺度参数均能快速收敛到稳态值,且以此得到各同质区域的Gamma分布曲线可以很好地拟合其直方图。通过对分割结果的定性和定量分析,可知提出算法具有有效性和可行性,且优于EM算法。     

极地冰芯固体直流导电特性检测(ECM)及环境意义

在介绍冰芯固体直流导电特性检测（ＥＣＭ）技术方法和检测原理的基础上,论述了ＥＣＭ检测技术应用于冰芯研究领域所具有的非破坏性、快速性和高分辨率的特点,分析阐明ＥＣＭ数据在冰芯年代划分、恢复火山活动历史、确定参考层位和生物质燃烧事件等方面的应用价值和研究意义。     

雪冰电导率反映的南、北极和青藏高原大气环境差异

青藏高原（无论南部、北部）雪冰电导率与雪冰体的酸碱度及雪冰内各类杂质成分的关系明显不同于极地冰盖（南极冰盖与格陵兰冰盖）,青藏高原雪冰电导率依赖于地壳来源的碱性矿物盐类杂质（如Ｃａ２＋,Ｍｇ２＋,ＳＯ２－４等）,因而与雪冰酸度（即Ｈ＋）呈反相关;极地冰盖雪冰电导率依赖于海洋来源的酸根离子（如Ｃｌ－,ＳＯ２－４等）,因而与雪冰酸度呈正相关。但在北极地区,雪冰电导率与各离子的关系存在复杂的地域分异,如在北极中心地区,极可能由于“北极霾”的干扰,打破了格陵兰冰盖内电导率与酸根离子间明确的函数关系。总之,雪冰电导率是寒区大气环境的替代性“指示器”     

Research Progress on Electrical Properties and Conductivity Measurement Technology of Ice Core

Ice core is an important object of the global climate change research, and can extract paleoclimate information by physical and chemical methods. As one of the major physical analysis technology, conductivity measurement technology mainly contains two methods and has been applied to many drilling project. The technology reflects the ice core electrical properties influenced by factors such as temperature, pressure, impurities and changes, and the cause of these changes can be explained from the aspects of macroscopic and microscopic. What obtained from measurement can be used to the research of dating, volcanic events, accumulation rate, biomass burning, ion concentration recovery, which systematically help us to understand the quaternary evolution of Antarctic climate since late pleistocene. This paper summarized in detail the main research achievements on electrical properties and dielectric measurement technology of ice core, and also discussed the prospect of the technology in China deep ice core project further.     

大青山、蛮汗山外生菌根真菌资源调查

室外调查与室内观察鉴定结果表明：1．大青山、蛮汗山外生菌根真菌资源极为丰富。其中大青山已知存在78种外生菌根真菌，隶属于15科，3l属；蛮汗山已知存在79种外生菌根真菌，隶属于15科，32属。2．在高海拔阴坡和半阴坡，与青海云杉、落叶松共生的主要为牛肝菌属、乳菇属、红菇属、丝膜菌属；与阔叶树共生的以鹅膏科为最多。3．在中低海拔地区与松属共生频率最高的是乳牛肝菌属；与杨、桦共生最多的是杯伞属、桩菇属、蘑菇属。4．通过分离，在大青山、蛮汗山先后分别获得珍贵菌根菌10种、12种。5．在分离的菌根菌中乳牛肝菌属中的大部分种为油松、樟子松的优秀菌根真菌。     

Records of climatic changes and volcanic events in an ice core from Central Dronning Maud Land (East Antarctica) during the past century

The depth profiles of electrical conductance, δ¹⁸O,²¹⁰Pb and cosmogenic radio isotopes¹⁰Be and³⁶Cl have been measured in a 30 m ice core from east Antarctica near the Indian station, Dakshin Gangotri. Using²¹⁰Pb and δ¹⁸O, the mean annual accumulation rates have been calculated to be 20 and 21 cm of ice equivalent per year during the past ∼ 150 years. Using these acumulation rates, the volcanic event that occurred in 1815 AD, has been identified based on electrical conductance measurements. Based on δ¹⁸O measurements, the mean annual surface air temperatures (MASAT) data observed during the last 150 years indicates that the beginning of the 19th century was cooler by about 2‡ C than the recent past and the middle of 18th century. The fallout of cosmogenic radio isotope¹⁰Be compares reasonably well with those obtained on other stations (73‡ S to 90‡ S) from Antarctica and higher latitudes beyond 77‡N. The fallout of³⁶Cl calculated based on the present work agrees well with the mean global production rate estimated earlier by Lal and Peters (1967). The bomb pulse of³⁶Cl observed in Greenland is not observed in the present studies – a result which is puzzling and needs to be studied on neighbouring ice cores from the same region.     

高分辨率P-SV波速度分析

本文在常规转换波速度分析算法基础上,引入两个速度检测因子,提出了两种高分辨率的转换波速度分析方法,称之为转换波协方差速度分析法和转换波ECM（Enhanced Complex Matched Filter Method）速度分析法,同时对转换点计算公式、共转换点道集选排进行了研究,选取了最佳的转换点精确解计算公式,应用到基于时窗的CCP道集分选方法中,并与高分辨率速度分析同时进行,实现了转换波的高分辨率速度分析的算法,理论模型的计算结果表明,二者在时间及速度上都具有较高的分辨率.     

A spectral approach to estimation and smoothing of continuous spatial processes

This paper is concerned with developing computational methods and approximations for maximum likelihood estimation and minimum mean square error smoothing of irregularly observed two-dimensional stationary spatial processes. The approximations are based on various Fourier expansions of the covariance function of the spatial process, expressed in terms of the inverse discrete Fourier transform of the spectral density function of the underlying spatial process. We assume that the underlying spatial process is governed by elliptic stochastic partial differential equations (SPDE's) driven by a Gaussian white noise process. SPDE's have often been used to model the underlying physical phenomenon and the elliptic SPDE's are generally associated with steady-state problems.A central problem in estimation of underlying model parameters is to identify the covariance function of the process. The cumbersome exact analytical calculation of the covariance function by inverting the spectral density function of the process, has commonly been used in the literature. The present work develops various Fourier approximations for the covariance function of the underlying process which are in easily computable form and allow easy application of Newton-type algorithms for maximum likelihood estimation of the model parameters. This work also develops an iterative search algorithm which combines the Gauss-Newton algorithm and a type of generalized expectation-maximization (EM) algorithm, namely expectation-conditional maximization (ECM) algorithm, for maximum likelihood estimation of the parameters.We analyze the accuracy of the covariance function approximations for the spatial autoregressive-moving average (ARMA) models analyzed in Vecchia (1988) and illustrate the performance of our iterative search algorithm in obtaining the maximum likelihood estimation of the model parameters on simulated and actual data.     

T213和ECM模式产品在"麦莎"台风预报中的应用和检验

选取T213和ECM数值模式的500hPa高度场预报产品，用天气学方法对影响“麦莎”台风移动路径的东亚西风带低槽和副热带高的演变过程、台风移动路径进行模式稳定性检验和比较。结果表明：两个模式对东亚西风带低槽和副热带高的演变过程预报稳定，预报场逐渐逼近实况分析场，预报时效达120小时。并较准确地预报了台风登陆前西北行路径。预报精度ECM模式高于T213。     

基于ECM模型的成都市城镇居民收入与消费问题的实证研究

利用成都市1978—2007年度的城镇居民可支配收入和人均消费支出数据,构建误差修正模型进行了实证研究,结果显示：成都市城镇居民人均消费支出和可支配收入两变量存在协整关系;人均可支配收入是影响消费支出最根本的原因;由于误差修正系数为负数,符合反向修正机制,使得短期的消费政策无效。因此,长期来看,政府必须采取有效措施提高居民的可支配收入,优化供给和消费结构,才能实现扩大内需的政策目标。