小波理论在遥感图像融合中应用

小波变换用于多源遥感图像融合已得到了国内外学者的广泛关注,并且又提出了很多小波变换与传统融合方法结合的融合算法。本文在对这些算法进行总结的基础上,讨论了基于小波包变换和最优树变换以及多进制小波变换在融合中的应用,分析他们在融合中各自的特色,以便使用时根据具体情况进行选择。     

Understanding the Past and Present and Predicting the Future: Farmers’ Use of Multiple Nutrient Best Management Practices in the Upper Midwest

Understanding what drives farmers’ voluntary adoption of nutrient and soil best management practices has important consequences for many environmental outcomes including water quality. We build on research revealing the need for simultaneous use of multiple nitrogen best management practices to achieve water quality improvement goals. Using social, economic and attitudinal variables we predict the use of multiple nitrogen best management practices at three time points: current use (2013), past use (before 2013), and likelihood of use on their largest field in the next three years. Our empirical analysis uses structural equation modeling with latent variables and 2014 farmer survey data from three Midwestern US states. Most farmers in our sample used at least one of the six best management practices. Our results reveal that farmers’ attitudes, use of information sources, and conservation program participation affect the number of nitrogen best management practices concurrently in use at multiple time points.     

Best prediction in linear models with mixed integer/real unknowns: theory and application

In this contribution, we extend the existing theory of minimum mean squared error prediction (best prediction). This extention is motivated by the desire to be able to deal with models in which the parameter vectors have real-valued and/or integer-valued entries. New classes of predictors are introduced, based on the principle of equivariance. Equivariant prediction is developed for the real-parameter case, the integer-parameter case, and for the mixed integer/real case. The best predictors within these classes are identified, and they are shown to have a better performance than best linear (unbiased) prediction. This holds true for the mean squared error performance, as well as for the error variance performance. We show that, in the context of linear model prediction, best predictors and best estimators come in pairs. We take advantage of this property by also identifying the corresponding best estimators. All of the best equivariant estimators are shown to have a better precision than the best linear unbiased estimator. Although no restrictions are placed on the probability distributions of the random vectors, the Gaussian case is derived separately. The best predictors are also compared with least-squares predictors, in particular with the integer-based least-squares predictor introduced in Teunissen (J Geodesy, in press, 2006).     

一种主动发现网络地理信息服务的主题爬虫

地理信息服务已成为分布式环境下获取地理数据的重要来源,从海量的网络资源中找到地理信息服务,是共享与互操作地理数据的基础。目前,地理信息服务主动搜索主要采用通用搜索引擎的接口或者通用爬虫的抓取方式,但这2种方式存在搜索效率低、搜索结果可用性差等不足。针对这一问题,本文设计了一种搜索地理信息服务的主题爬虫。该算法在最佳优先搜索的基础上进行了改进,综合考虑网页内容的主题相关度和链接文本的主题相关度确定链接优先级,优先爬取与地理信息服务相关的链接,并通过舍弃无关网页中的无关链接,减少无效爬取,进而提高搜索效率。此外,本文采用关键词匹配结合能力文档探测的方式识别地理信息服务,有效筛选出可用的地理信息服务,提高了服务搜索结果的可利用率。最后,本文以OGC WMS为实例,实现爬虫算法的原型系统并进行实验,实验证明该算法有效可行。     

试论工业区工业企业成组布局的经济效果和最佳规模的确定

分析了工业区工业企业成组布局与分散布局相比较的经济效果,并采用年费用指标作为评价成组布局经济效果的基本指标。本文还分析了工业成组布局的经济效果与工业区规模之间的关系。本文以年费用最小为目标函数,以成组布局工业区的一些主要企业(基本企业)和与其相应的具有替代关系的分散布局企业(对比企业)为变量,建立了工业成组布局经济效果及最佳规模优化模型。     

A bound for the Euclidean norm of the difference between the best linear unbiased estimator and a linear unbiased estimator

 A bound is established for the Euclidean norm of the difference between the best linear unbiased estimator and any linear unbiased estimator in the general linear model. The bound involves the spectral norm of the difference between the dispersion matrices of the two estimators, and the residual sum of squares, all evaluated at the assumed model, but is independent of the provenance of the observation vector at hand. The bound, a straightforward consequence of first principles in Gauss–Markov theory, generalizes previous results on the difference between the best linear unbiased estimator and the ordinary least-squares estimator. In a numerical example from repeated precise levelling, the bound is used to analyse the sensitivity of estimates of vertical motion to the choice of estimator. Received: 9 September 1999 / Accepted: 15 March 2002     

中国及邻区大地水准面异常的场源深度探讨

利用中国及邻区地形、地震层析成像、沉积层底面、Moho面及岩石层底面资料,正演计算出中国及邻区岩石圈大地水准面异常;再从全阶大地水准面异常中扣除正演模拟得到的岩石圈大地水准面异常与不同阶次波段的大地水准面进行比较,寻求表示中国及邻区地幔物质不均匀的大地水准面异常的最佳阶次为2-60阶. 结果表明,对应于岩石圈的大地水准面异常的重力位球谐函数阶数为61-20阶;下地幔重力位球谐函数阶数为2-6阶;而-60阶重力位球谐函数则表示中国及邻近区域上地幔大地水准面异常.     

Nonlinear surface fit stability formula without any transition region for conventional breakwater design

Determining the optimum weight of the armor blocks is of vital importance in the design of conventional breakwaters. The widely used formulae in the literature include the transition region from plunging to surging waves. In this paper, it is aimed to investigate a new design formula without any transition region as an alternative to widely used Van der Meer formulae. The dimensionless parameters of Van der Meer formulae as well as newly generated variables are used as inputs. Nonlinear surface fit best subset regression model is used to find the optimum input combination that keeps the nonlinear relationships. All the input parameters, their second powers, and their two-way interactions are included in the regression analyses to obtain a nonlinear surface fit. Various goodness of fit statistics are applied to check the different perspectives of the model accuracy. It is demonstrated that the proposed model gives a realistic prediction of the stability number for critical data range. Especially for high values of stability number the proposed formula outperforms the benchmark formulae of Van der Meer and Etemad-Shahidi and Bonakdar. The other advantage is that it does not contain any transition region that depends on wave conditions. Besides, there is no need to include “number of waves” and “permeability” parameters into the equation.     

(Un)bundling Bangalore: Infrastructure bundling ‘best practices’ and assembling novel scapes

This paper focuses on the socio-material, political and spatial implications of urban infrastructure bundling practices. Our work examines how network bundling best practices piloted in the Indian city of Bangalore (Bengaluru) have been deployed as a policy model for urban road re-engineering. Drawing on work in actor-network theory (ANT)-inspired assemblage urbanism and policy mobilities, we examine the assembling of Bengaluru's Vittal Mallya (VM) Road in conjunction with Tender-SURE (Tender Specifications for Urban Road Execution) as showcase projects for bundled network infrastructures. Our paper introduces an ‘infrastructurescape’ typology – boundaries, intersections, cul-de-sacs and peopling – as an analytic for examining the socio-material and spatio-political implications of bundling. Our findings discuss the rise of powerful local infrastructure coalitions of private and civic interests in Bengaluru. Besides the low accountability of these coalitions, we identify the potential problematic effects of infrastructure bundling including: spatial exclusions and fragmentation; the valorization of commercial space and automobility; and the limited participation of wider publics in shaping urban infrastructural futures. Bundling urban networks and setting local urban infrastructural priorities, we suggest, represent politically-charged processes that reconfigure specific city streets and scapes. Infrastructure bundling practices have important implications for the city-at-large and the city-region of the future in India and beyond.