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101.
旨在剖析我国《开发区土地集约利用评价规程》中指标体系存在的问题并提出改进建议。在界定开发区土地集约利用内涵基础上,从要素特征(W维)、利用目标(R维)和评价过程(S维)等3个维度阐述了开发区土地集约利用评价的系统要求,构建关联分析矩阵,对《规程》中评价指标体系的特征差异化、层次完整性和目标关联性等3个方面进行了分析讨论。针对当前《规程》中存在的评价对象混杂、开发区类型需要细化、指标体系不完整、计算方法需修正等问题提出了相应修改建议。  相似文献   
102.
提出了一种基于Dijkstra方法的网络分层算法,实现了两点间节点数最少条件下最短通路的求取,并与传统Dijkstra算法进行了比较,得到了一些有益的结论。  相似文献   
103.
半参数估计与LS估计的有效性比较   总被引:1,自引:1,他引:0  
建立半参数回归模型,将系统误差加入,推导出了模型正则化矩阵时参数平差的计算方法,并用直接法得到了参数、非参数的估计量,在MSE准则下与最小二乘估值(简称LS估值)进行比较,证明了半参数估值的有效性。  相似文献   
104.
概括平差模型的解法探讨   总被引:1,自引:0,他引:1  
分析了概括平差模型系数矩阵可能出现非列满秩情况的原因,研究了如何使系数矩阵为列满秩矩阵,避免了系数矩阵为非列满秩时的复杂解算过程。  相似文献   
105.
全极化SAR数据反演桥面高度   总被引:1,自引:0,他引:1  
王海鹏  徐丰  金亚秋 《遥感学报》2009,13(3):391-403
根据高分辨率SAR图像上建筑区的影像特征, 提出了基于灰度共生矩阵(gray-level cooccurrence Matrix, GLCM)纹理分析的建筑区提取方法, 该方法由初步定位和边界调整2个步骤组成, 均遵循特征计算、基于Bhattacharyya距离的特征选择和KNN分类流程, 所不同的是2个步骤中分别采用了逐块和逐点计算纹理特征的方式以兼顾纹理分析的效率和准确性。文中对不同SAR传感器获取的图像进行了实验。实验结果表明, 选用具有最大Bhattacharyya距离值的3或4个特征可以获得较好的初步定位结果, 建筑区的检测率超过80%, 虚警率低于10%;随着边界调整的进行, 检测到的建筑区边界逐渐接近于真实边界。实验结果验证了该算法的有效性。  相似文献   
106.
R. Daneshfaraz  B. Kaya   《Ocean Engineering》2008,35(11-12):1075-1079
Many problems in mechanics can be solved by the use of the transfer matrix method. The use of this method in hydraulics engineering is not widespread and only limited studies are available. In this study, linearized St. Venant equations were used and the use of transfer matrix in ocean engineering was investigated for long waves in open channels, and numerical application was carried out. The results obtained through the transfer matrix method, which is quite easy to use, program and comprehend, showed similar results obtained from the characteristics method and finite differences method.  相似文献   
107.
The overall performance of pile-restrained flexible floating breakwaters is investigated under the action of linear monochromatic incident waves in the frequency domain. The aforementioned floating breakwaters undergo only vertical structural deflections along their length and are held in place by means of vertical piles. The total number of degrees of freedom equals the six conventional body modes, when the breakwater moves as a rigid body, plus the extra bending modes. These bending modes are introduced to represent the structural deflections of the floating breakwater and are described by the Bernoulli–Euler flexible beam equation. The number of bending modes introduced is determined through an appropriate iterative procedure. The hydrostatic coefficients corresponding to the bending modes are also derived. The numerical analysis of the flexible floating breakwaters is based on a three-dimensional hydrodynamic formulation of the floating body. A parametric study is carried out for a wide range of structural stiffness parameters and wave headings, to investigate their effect on the performance of flexible floating breakwaters. Moreover, this performance is compared with that of the corresponding pile-restrained rigid floating breakwater. Results indicated that the degree of structural stiffness and the wave heading strongly affect the performance of flexible floating breakwaters. The existence of an “optimum” value of structural stiffness is demonstrated for the entire wave frequency range.  相似文献   
108.
数码相机检验中出现的问题及解决方法   总被引:1,自引:0,他引:1  
数码相机的检验是近景摄影测量中经常碰到的问题。最常用的主要还是基于共线方程的后方交会法。但由于普通数码相机存在较大的镜头畸变,内方位元素也未知,所以仅用单片进行后方交会求取有关参数时,法方程可能会出现病态现象,从而影响最后的检验结果。文中对此现象进行了讨论,并给出了一些实用的解决方法。  相似文献   
109.
The offshore jacket platform is a complex and time-varying nonlinear system,which can be excited of harmful vibration by external loads.It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model.In this paper,an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform,and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method.Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory,RNN is utilized to identify the predictive inverse model of the offshore jacket platform system.Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads,and to deal with the delay problem caused by signal transmission in the control process.The numerical results show that the constructed novel RNN has advantages such as clear structure,fast training speed and strong error-tolerance ability,and the proposed method based on RNN can effectively control the harmfid vibration of the offshore jacket platform.  相似文献   
110.
Hierarchical clustering analysis and principal component analysis (PCA) methods were used to assess the similarities and dissimilarities of the entire Excitation-emission matrix spectroscopy (EEMs) data sets of samples collected from Jiaozhou Bay, China. The results demonstrate that multivariate analysis facilitates the complex data treatment and spectral sorting processes, and also enhances the probability to reveal otherwise hidden information concerning the chemical characteristics of the dissolved organic matter (DOM). The distribution of different water samples as revealed by multivariate results has been used to track the movement of DOM material in the study area, and the interpretation is supported by the results obtained from the numerical simulation model of substance tracing technique, which show that the substance discharged by Haibo River can be distributed in Jiaozhou Bay.  相似文献   
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