顾及多分析尺度的地形部位面向对象分类方法

地形部位是地表形态的基本单元,其分类和提取在地貌发育、数字土壤制图、景观生态制图等领域有着重要的应用。康鑫等提出的多尺度Geomorphons地形部位分类法（简称多尺度Geomorphons法）利用高程相对差异信息和地形部位多尺度特征,可避免受地形属性计算及单一分析尺度约束而误分类,然而其存在分类破碎及分析尺度域难以确定的问题。基于此,本文以多尺度Geomorphons法为基础,提出了其适宜分析尺度域确定方法,建立了以初始地形部位数据层组合的对象多尺度分割和分类方法,进而构建了顾及多分析尺度的地形部位面向对象分类方法。以陕北黄土高原区域5 m分辨率DEM为实验数据,对面向对象分类方法进行了验证与评价。实验结果表明：①均值变点法可有效解决分析尺度域难以确定的问题,实验样区适宜分析尺度域为[5×5, 33×33]栅格单元;②以0,255为二值化的地形部位数据层组合适用于多尺度分割,尺度、形状及紧致度参数组合影响分割结果,且对于实验样区存在最优分割参数;③与多尺度Geomorphons法相比,本文方法得到的地形部位分类结果完整性较好,在地表形态对应和地理认知等方面更具合理性。     

Study on the negative bias temperature instability effect under dynamic stress

This paper studies negative bias temperature instability (NBTI) under alternant and alternating current (AC) stress. Under alternant stress, the degradation smaller than that of single negative stress is obtained. The smaller degradation is resulted from the recovery of positive stress. There are two reasons for the recovery. One is the passivation of H dangling bonds, and another is the detrapping of charges trapped in the oxide. Under different frequencies of AC stress, the parameters all show regular degradation, and also smaller than that of the direct current stress. The higher the frequency is, the smaller the degradation becomes. As the negative stress time is too small under higher frequency, the deeper defects are hard to be filled in. Therefore, the detrapping of oxide charges is easy to occur under positive bias and the degradation is smaller with higher frequency.     

系统偏差常数弧段估计策略对多系统静态精密单点定位的影响

为探讨系统偏差最优估计策略,利用IGS提供的GPS、BDS、GLONASS和Galileo 四系统的观测数据以及GFZ提供的精密卫星钟差和精密轨道产品,将系统偏差（ISB）按照高斯白噪声、20 min、30 min、1 h、2 h分段常数进行单天静态解,分别获得E、N、U方向上的坐标偏差,分析不同系统偏差求解策略下多系统融合PPP的收敛时间和定位精度。结果表明,在多系统融合静态PPP中,从观测模型强度与定位结果稳定性和可靠性角度综合考虑,对ISB采用20 min分段常数估计策略是最优的,静态PPP收敛时间在30 min左右,收敛后的定位精度E方向优于2 cm、N方向优于1 cm、U方向优于5 cm。     

精密单点定位中三种GPS卫星钟差预报模型的精度分析

分析了二次多项式、线性和灰色系统三种预报模型的原理和特点,采用了IGS精密星历和超快星历数据,选取了五颗钟差变化比较典型的卫星,实现了为期一天的卫星钟差预报。     

基于线阵水下定位的解析求解算法

当信号接收器位于同一直线时,DGPS水下立体定位系统的解析算法并不能解算出目标空间立体坐标。提出一种新方法,利用它们的几何关系,计算出它们所在平面的相对位置。得到平面位置可以作为求解立体坐标的一部分,还可以应用于平面内水下目标定位的测试。解算中四个信号接收器的数据可以解算出唯一解,当信号接收器数目大于四个时,利用最小二乘理论获最优解。该方法采用解析法直接求解,不存在定位结果的发散问题。     

Impacts of systematic precipitation bias on simulations of water and energy balances in Northwest America

At high latitudes and in mountainous areas, evaluation and validation of water and energy flux simu-lations are greatly affected by systematic precipitation errors. These errors mainly come from topographic effects and undercatch of precipitation gauges. In this study, the Land Dynamics （LAD） land surface model is used to investigate impacts of systematic precipitation bias from topography and wind-blowing on water and energy flux simulation in Northwest America. The results show that topographic and wind adjustment reduced bias of streamflow simulations when compared with observed streamflow at 14 basins. These systematic biases resulted in a -50%-100% bias for runoff simulations, a -20%-20% bias for evapotranspiration, and a -40%-40% bias for sensible heat flux, subject to different locations and adjustments, when compared with the control run. Uncertain gauge adjustment leads to a 25% uncertainty for precipitation, a 20% 100% uncertainty for runoff simulation, a less-than-10% uncertainty for evapotranspiration, and a less-than-20% uncertainty for sensible heat flux.     

遥感影像内容的语义查询算法与应用

海量遥感影像数据如何进行方便快捷的查询检索与定位,是影像数据存储管理部门所面临的主要问题,同时也是制约影像数据为用户提供更好服务的瓶颈。本文主要分析了当前遥感影像数据库查询检索的几种方式和它们的利弊,进而提出一种在近乎海量的遥感数据中简单、方便、快捷的算法与实现思想。并在已有的影像数据库引擎原型系统上,设计出一种检索查询遥感影像内地物的方法。这种方法以矢量要素的空间信息和属性信息为引导,快速准确的定位地物所在的影像块,为遥感影像的有效管理和应用提供了一种可行的方法。     

A generalized conditional intensity measure approach and holistic ground‐motion selection

A generalized conditional intensity measure (GCIM) approach is proposed for use in the holistic selection of ground motions for any form of seismic response analysis. The essence of the method is the construction of the multivariate distribution of any set of ground‐motion intensity measures conditioned on the occurrence of a specific ground‐motion intensity measure (commonly obtained from probabilistic seismic hazard analysis). The approach therefore allows any number of ground‐motion intensity measures identified as important in a particular seismic response problem to be considered. A holistic method of ground‐motion selection is also proposed based on the statistical comparison, for each intensity measure, of the empirical distribution of the ground‐motion suite with the ‘target’ GCIM distribution. A simple procedure to estimate the magnitude of potential bias in the results of seismic response analyses when the ground‐motion suite does not conform to the GCIM distribution is also demonstrated. The combination of these three features of the approach make it entirely holistic in that: any level of complexity in ground‐motion selection for any seismic response analysis can be exercised; users explicitly understand the simplifications made in the selected suite of ground motions; and an approximate estimate of any bias associated with such simplifications is obtained. Copyright © 2010 John Wiley & Sons, Ltd.     

原始数据误差对放样点精度影响的探讨

本文在文献[3]的基础上,进一步探讨了工程测量中原始数据误差对放样点精度影响的问题。首先,讨论了施工控制网中原始数据误差存在的形式、特点以及它们对放样点精度影响的传播规律,并建立了关于相对放样点位精度的矩阵公式。在此基础上,对现有的几种常用放样方法中原始数据误差的影响进行了分析和计算。结果表明,在施工放样测量工作中,应该密切注视原始数据误差的影响,并对此问题提出一些合理的建议。     

测量平差抗差化和效率分析

本文从充分利用可能得到的信息的观点出发,讨论了测量平差的抗差性和优效性及其他们之间的关系。阐述了抗差估计理论和经典估计理论的本质区别。提出了测量平差抗差化的基本原则,并对几种估计的抗差能力和效率作了比较。