机载LiDAR地形特征信息快速提取

为更有效地获取地形特征信息,提出一种机载LiDAR地形特征信息快速提取算法。首先,通过构建二次曲面拟合模型,建立实测LiDAR地形数据与拟合曲面的几何规则;然后,采用LM算法迭代参数寻优,获得最优化结果下的地形拟合参数,计算拟合时间及拟合精度;最后,以地形拟合模型为基础,进行地形特征信息的快速提取。通过机载LiDAR实测数据验证,当最优搜索半径为2 m时,地形曲面的拟合时间仅为0.02 s,RMSE仅为5.09 cm。该算法保证了地形特征信息提取效率和精度,能够有效满足机载LiDAR科学研究和工程应用的技术需求。     

软土地区小桥涵桥台路基沉降拟合处理方法

软土地区桥台与桥涵之间产生较大的差异沉降, 影响使用.提出采用沉降拟合方法, 即根据复合地基的设计思想, 通过在桥台与桥涵部位采用不同置换率, 调整沉降量, 使其相近, 以达到减少沉降差的目的.      

基于监测曲线特征点分析的阶跃型滑坡预警方法

在三峡库区专业监测滑坡中,部分滑坡受到库水或者降雨等外界因素影响,其累计位移-时间曲线表现出明显的“阶跃型”特征。直接使用改进切线角对阶跃型滑坡位移监测曲线进行预警分析,其改进切线角预警值可能在变形曲线陡增阶段高于实际预警级别,增加虚警率。为了准确判别阶跃型滑坡的变形阶段及发展趋势,本文以白家包滑坡和谭家湾滑坡为例,分析滑坡监测历史数据及其影响因素,采用斜率单变点分析法和AMPD法对“阶跃型”累计位移-时间曲线进行特征点提取,结合Hill 函数形成特征点拟合曲线,在此基础上利用改进切线角对拟合曲线进行滑坡变形阶段划分及预警分析。结果表明,当前白家包滑坡总体上处于蠕滑变形阶段,预警级别为无预警;谭家湾滑坡处于中加速变形阶段,预警级别为橙色预警。研究表明,本文方法可以很好抑制变形曲线的阶跃特征对预警级别判定带来的影响,更准确地判定滑坡变形阶段。     

西准噶尔包古图Ⅴ号岩体围岩蚀变的特征及ETM+蚀变信息的提取

以新疆西准噶尔包古图Ⅴ号岩体为例,系统论述了包古图Ⅴ号含矿岩体的围岩蚀变分带和蚀变期次。结合ETM+数据的特征,选择多种遥感图像预处理方法组合,建立了基于典型蚀变矿物的特征光谱拟合技术的多光谱遥感蚀变信息提取模型,即遥感数据的归一化处理(Calibration )+掩膜(Mask)+混合像元分解(Endmember Unmixing)+波谱拟合(Spectral Feature Fitting)+ SAM+分类(分割)的CES模型。据此模型对岩体进行信息提取,并与化探资料叠加验证了该方法的可行性,取得了较满意的效果。     

天津滨海新区地面沉降预测方法研究

利用1985～2008年天津地面沉降监测资料,以水准监测点为基本研究对象,在分析其时间沉降的变化动态基础上,采用分段权函数线性模型提取沉降信息并进行外推预测,展示了天津滨海新区地面沉降现状,编绘了2008年天津滨海新区地面沉降年度沉降分布图和2008～2013年间地面沉降总量的预测分布图研究成果可供政府及有关部门制定和实施控沉管理决策参考,同时对存在类似问题的区域也有一定的参考价值。     

西准噶尔包古图Ⅴ号岩体围岩蚀变的特征及ETM+蚀变信息的提取

以新疆西准噶尔包古图Ⅴ号岩体为例,系统论述了包古图Ⅴ号含矿岩体的围岩蚀变分带和蚀变期次。结合ETM+数据的特征,选择多种遥感图像预处理方法组合,建立了基于典型蚀变矿物的特征光谱拟合技术的多光谱遥感蚀变信息提取模型,即遥感数据的归一化处理(Calibration )+掩膜(Mask)+混合像元分解(Endmember Unmixing)+波谱拟合(Spectral Feature Fitting)+ SAM+分类(分割)的CES模型。据此模型对岩体进行信息提取,并与化探资料叠加验证了该方法的可行性,取得了较满意的效果。     

The influence of light availability and predatory behavior of the decapod crustacean Nephrops norvegicus on the activity rhythms of continental margin prey decapods

The day–night cycle is one of the strongest geophysical cycles modulating species' behavioral rhythms. However, in deep-water continental margins, where light intensity decreases over depth, interspecific competition may alter behavioral responses to day–night cycles. The burrowing decapod crustacean Nephrops norvegicus is a large-size predator in benthic communities, exerting despotic territorial behavior. In this study, we analysed how the effect of light intensity cycles on decapod behavioral rhythms is reduced as one moves from shelves to slopes. In the Western Mediterranean, the predatory behavior and interspecific competition for substrate use of Nephrops increases moving from the shelf (100–110 m) to the slope (400–430 m). Vector fitting and generalized additive models were used to assess the effect of light intensity and behavioral rhythms of N. norvegicus on the temporal variation of prey decapods co-occurring in trawl tow catches carried out on the shelf and the slope during October 1999 and June 2000. The combination of diel variations in light intensity and N. norvegicus abundance influences the activity rhythms of prey decapods in a depth- and seasonal-dependent manner. Light modulation is stronger on the shelf and weaker on the slope, where Nephrops population size is greater. Although present regression analysis does not necessarily imply a direct cause–effect relationship between rhythms of predators and prey, we suggest that Nephrops alters the temporal patterning in the behavior of its prey on the slope, where light intensity is reduced. This alteration is stronger in endobenthic species than in benthopelagic species; the former rely on bottom substrate for the expression of behavioral rhythms, experiencing stronger interspecific competitions with Nephrops at time of activity.     

地壳形变分析的抗差最小二乘配置迭代解法

利用最小二乘配置进行地壳形变分析,其结果的合理性关键在于经验协方差函数的拟合.考虑到观测数据存在粗差的情况,提出基于观测值中位数初值的抗差最小二乘配置方法和基于中位参数法的抗差最小二乘配置方法.两种方法首先分别利用观测值中位数给出观测值初始权阵以及利用中位参数法给出最小二乘配置初始解,然后均在给定协方差函数参数初始值的情况下,应用合适的等价权进行抗差估计并通过迭代计算,最终获得稳健的协方差函数参数估值及最小二乘配置解.利用本文提出的两种方法以及传统方法分别对庐山地震的GPS垂直位移数据和意大利L'Aquila地震的InSAR同震位移数据进行处理分析.结果表明：相对传统方法,基于观测值中位数初值的抗差最小二乘配置方法效果更好,更具稳健性.

     

一种估计观测资料动态误差的方法

给出一种较好的观测资料动态误差估计的方法：单圈改进法，该方法从轨道理论出发，有明确的物理背景，避免了最小二乘拟合阶数和Vondrak平滑法平滑因子不确定性，较为准确地估计了观测资料的动态误差．另外该方法能够反映观测资料的不正常的跳动，对准确地评估观测仪器的性能，进一步改进观测仪器是有益处的．     

An interconnect width and spacing optimization model considering scattering effect

As the feature size of the CMOS integrated circuit continues to shrink, the more and more serious scattering effect has a serious impact on interconnection performance, such as delay and bandwidth. Based on the impact of the scattering effect on latency and bandwidth, this paper first presents the quality-factor model which optimises latency and bandwidth effectively with the consideration of the scattering effect. Then we obtain the analytical model of line width and spacing with application of curve-fitting method. The proposed model has been verified and compared based on the nano-scale CMOS technology. This optimisation model algorithm is simple and can be applied to the interconnection system optimal design of nano-scale integrated circuits.