Web-based visualization of large 3D urban building models

Adaptive rendering of large urban building models has become an important research issue in three-dimensional (3D) geographic information system (GIS) applications. This study explores a way for rendering web-based 3D urban building models. A client–server hybrid rendering approach is presented for large 3D city models, stored on a remote server through a network. The approach combines an efficient multi-hierarchical building representation with a novel image-based method, 3D image impostor generated on demand by a remote server. This approach allows transferring complex scenes progressively while keeping high visualization quality. We also evaluated the rendering and data transferring performance of the proposed approach.     

Total evaporation estimation for accurate water accounting purposes: an appraisal of various available estimation methods

The estimation of total evaporation is fundamental for water accounting, considering its influence on water availability. Moreover, the current increase in water consumption (e.g. in sub-Saharan Africa and the world over), land cover/use changes, deteriorating water quality and the climate change projections in most regions of the world underscore the need to understand water loss. So far, different approaches have been developed and implemented in estimating the variations of total evaporation, with varying accuracies. The aim of this work was therefore, to provide a review of these different approaches for estimating total evaporation, as well as a detailed discussion of their strengths and weaknesses. Findings from this review have shown that total evaporation estimates derived, using ground-based meteorological and micro-meteorological methods are inadequate for representing its large-scale spatial variations. On the other hand, remote sensing technology, which acquires data at different resolutions (i.e. radiometric, spectral, spatial and temporal), provides timely, up-to-date and relatively accurate spatial estimates of total evaporation over large geographic coverage, for sustainable and effective water accounting, which is key for well-informed and improved management of water resources at both catchment and regional scales. In this regard, more details on the remote sensing-based methods of estimating total evaporation are provided, especially considering the robust technological advancements and its potential in characterizing earth features over time and space. This work has also managed to identify research gaps and challenges in the accurate estimation of total evaporation, using remote sensing, especially with the emergence of more advanced sensors and the characteristics of the landscape.     

遥感蚀变信息检测中背景与干扰问题研究

在不同自然景观区的遥感蚀变信息检测中,背景与干扰是2个复杂而又容易混淆的研究对象。本文结合光谱混合模型理论与随机变量概率分布相关理论,深入分析了遥感数据的光谱空间几何结构特征(重点剖析二维散点图),系统研究了背景与干扰的关系、复杂度以及干扰地物类型的划分等问题。这些问题的探讨为遥感蚀变信息检测的最佳方案设计和蚀变信息潜在性评价与准确提取提供了技术思路。     

On the multivariate total least-squares approach to empirical coordinate transformations. Three algorithms

The multivariate total least-squares (MTLS) approach aims at estimating a matrix of parameters, Ξ, from a linear model (Y−E _Y = (X−E _X ) · Ξ) that includes an observation matrix, Y, another observation matrix, X, and matrices of randomly distributed errors, E _Y and E _X . Two special cases of the MTLS approach include the standard multivariate least-squares approach where only the observation matrix, Y, is perturbed by random errors and, on the other hand, the data least-squares approach where only the coefficient matrix X is affected by random errors. In a previous contribution, the authors derived an iterative algorithm to solve the MTLS problem by using the nonlinear Euler–Lagrange conditions. In this contribution, new lemmas are developed to analyze the iterative algorithm, modify it, and compare it with a new ‘closed form’ solution that is based on the singular-value decomposition. For an application, the total least-squares approach is used to estimate the affine transformation parameters that convert cadastral data from the old to the new Israeli datum. Technical aspects of this approach, such as scaling the data and fixing the columns in the coefficient matrix are investigated. This case study illuminates the issue of “symmetry” in the treatment of two sets of coordinates for identical point fields, a topic that had already been emphasized by Teunissen (1989, Festschrift to Torben Krarup, Geodetic Institute Bull no. 58, Copenhagen, Denmark, pp 335–342). The differences between the standard least-squares and the TLS approach are analyzed in terms of the estimated variance component and a first-order approximation of the dispersion matrix of the estimated parameters.     

高斯投影公式的机助推导

随着GPS应用的普及,高斯投影在测量中出现的机会越来越多。许多文献上都给出了推导过程,这个推导过程的运算量是非常大的,而且计算精度难于提高。经过研究,一种易于编程的递推公式被发现,虽然这个公式在计算量上没有减少,但是可以较好地解决精度问题。     

汶川地震山地灾害遥感快速提取及其分布特点分析

针对泥石流滑坡灾害体特有的物质组成与活动特点,通过比较分析其在不同遥感影像的光谱特征差异,选择ETM+影像作为主要数据源,提取湿度指数与绿度指数,利用ETM+的穗帽变换、影像差值增强、密度分割和掩膜技术建立了泥石流滑坡山地灾害快速提取模型,并用于汶川地震.通过灾害体的提取,分析了本次地震山地次生灾害的分布规律,利用空间叠加进行了成因的分析.本次地震山地灾害具有如下特点:(1)沿主要地表破裂带分布;(2)山地灾害主要出现在8度-9度地震烈度区,随着烈度的降低,山地灾害的总面积也相应的减少;(3)山地灾害主要发生在海拔高度1000-2500m的地带;(4)主要发生在坡度20°-50°之间的边坡上;(5)地震及余震期间以崩塌滑坡滚石为主,后期以泥石流滑坡为主;(6)具有河流左右两岸呈不对称分布等特点.结果表明,利用ETM+影像建立基于湿度指数与绿度指数的快速提取模型,对于大规模泥石流滑坡提取效果较好,进行大区域山地灾害的遥感快速提取是可行的.     

基于切割环分解的三维建筑物细节层次模型构造

提出一种基于切割环分解的建筑物LOD（细节层次）模型的自动生成方法,该方法首先通过二面角操作算子识别建筑模型中的切割环,然后通过切割环将建筑物模型迭代分割成建筑主体和一系列细部特征,并将分割的结果存储在一棵构造实体几何树（CSG tree）中,最后对特征部件按重要性进行等级划分,同时进行简化处理。试验结果表明该方法具有较高的计算效率,能有效减少模型表面的细节和较好保持模型的结构特征。     

GIS三维建模技术在镇江市体育会展中心岩土工程中的应用

本文介绍了GIS三维地形建模技术的常用方法,利用ArcGIS平台三维分析扩展模块建立一个三维地形模型。模型为该项岩土工程的建设提供了真实、客观的可视化参考数据,对本次岩土工程的建设起到了重要作用。     

空间数据库系统的数据模型、存储方法及实现策略

空间数据库在天文、地理信息、城市规划等领域有广泛的应用,是目前研究的热点之一.详细介绍了空间数据库的数据模型、空间数据的操作、空间数据库上的查询及查询语言、空间数据库的存储方法,最后给出实现空间数据库的几个策略.     

基于LiDAR和航空影像的地震灾害倒塌建筑物信息提取

地震灾害损失评估是震后展开救灾工作的重要环节.快速、准确地获取震后损毁建筑物信息能够为灾区减灾、救灾工作提供有效的支持.高分辨率航空遥感是灾害监测的重要技术手段,但其信息自动提取的精度受到一定的限制.近年来新出现的LiDAR技术能够提供地面目标的高程信息,可应用于复杂环境下倒塌建筑物信息的提取.研究中采用航空遥感数据和...