面向对象的泰安市高分辨率影像住宅建筑物提取

基于eCognition Developer平台,以泰安市QuickBird影像为数据,采用面向对象多尺度分割、最邻近和隶属度分类,充分利用高分辨率QuickBird影像具有的丰富光谱、形状、纹理和结构等地物信息,对实验区进行分类并提取住宅建筑物信息。实验表明,与传统逐像元分类法相比,面向对象分类法有效地避免了分割区域的离散破碎,地类信息的提取更加完整、精确、高效。     

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.     

Building extraction from LIDAR based semantic analysis

Extraction of buildings from LIDAR data has been an active research field in recent years. A scheme for building detection and reconstruction from LIDAR data is presented with an object-oriented method which is based on the buildings' semantic rules. Two key steps are discussed: how to group the discrete LIDAR points into single objects and how to establish the buildings' semantic rules. In the end, the buildings are reconstructed in 3D form and three common parametric building models (flat, gabled, hipped) are implemented.     

Quantifying the building stock from optical high-resolution satellite imagery for assessing disaster risk

This study uses high-resolution (HR) satellite imagery to quantify the stock of buildings, referred herein as building stock. The risk assessment requires information on the natural hazards and on the element at risk, that is the building stock in this article. This study combines (1) texture-based image processing to map built-up areas, (2) statistical sampling that allows locating the building samples and (3) photo-interpretation to encoding building footprints. Statistical inference is then used to quantify the building stock per class of building size. Legaspi in the Philippines is used as a case study. The results show that texture-based computer algorithms provide accurate area estimations of the built-up, that the detail of HR imagery allows the mapping of single buildings using photo-interpretation, and that a systematic sampling approach that uses building encoding and built-up maps can be used to quantify the building stock.     

A rule-based parameter aided with object-based classification approach for extraction of building and roads from WorldView-2 images

Roads and buildings constitute a significant proportion of urban areas. Considerable amount of research has been done on the road and building extraction from remotely sensed imagery. However, a few of them have been concentrating on using only spectral information. This study presents a comparison between three object-based models for urban features’ classification, specifically roads and buildings, from WorldView-2 satellite imagery. The three applied algorithms are support vector machines (SVMs), nearest neighbour (NN) and proposed rule-based system. The results indicated that the proposed rules in this study, despite the spectral complexity of land cover types, performed a satisfactory output with an overall accuracy of 92.92%. The advantages offered by the proposed rules were not provided by other two applied algorithms and it revealed the highest accuracy compared to SVM and NN. The overall accuracy for SVM was 76.76%, which is almost similar to the result achieved by NN (77.3%).     

基于BIM的建设项目设计概预算的应用

建设项目的设计阶段对工程造价起到了决定性的作用,其中设计图纸的工程量计算对工程造价的影响占有很大比例。对建设项目而言,预算超支现象十分普遍,而缺乏可靠的成本数据是造成成本超支的重要原因[1]。建筑信息模型(BIM)作为一种变革性的生产工具将对建设工程项目的成本核算过程产生深远影响。本文探讨了以BIM为平台开发工程量计算软件的技术可行性,对比当前其它平台的工程量计算软件的优缺点,提出了一种新的基于BIM模型的建筑软件开发平台模式。     

复合式商业建筑的实践与思考

本文通过对于上海浦江沃尔玛广场设计过程的概念探讨,试图廓清在特定城市区域,通过关键建筑的建设,达到丰富城市空间类型,改善城市空间品质的目的,也在设计整体实践中,思考当下特殊时期,新商业建筑的设计方法。     

建筑物超载对深基坑周边地表沉降影响分析

结合理论推导和对工程实测数据的整理分析,对天然场地和存在邻近建筑物时2种情况下的墙后地表沉降形态进行了对比分析,采用上海软土地区墙后地表沉降经验公式,对存在建筑物超载情况下的地表沉降曲线进行了良好的拟合,直观地表示出地表沉降槽的大小及形状、墙后最大沉降点的位置等。结果表明,邻近建筑物的存在能显著改变天然场地的地表沉降曲线形态,是否考虑建筑物存在的影响,将影响到对基坑及周边环境安全状态进行正确的评价和预测。     

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...     

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。