结合深度学习和图割法的遥感影像建筑物检测

提出一种基于卷积神经网络和图割法的自动提取高分影像建筑物的方法。首先,通过卷积神经网络定位与检测建筑物的位置,逐一提取单个建筑物轮廓,利用检测结果分别建立建筑物和非建筑物的高斯混合模型（GMM）,然后结合最大流最小割的图像分割方式实现全局优化,完成建筑物初步提取,最后用形态学进行优化。通过试验证明了该方法的可行性。     

地震安全性评价和高层建筑的地震动输入

本文根据现行的中国地震烈度区划图中烈度的含义,指出在使用现行“建筑抗震设计规范”时存在的一些问题和与《中华人民共和国防震减灾法》的不协调之处。根据多年参加工程场地地震安全性评价的经验,总结了目前进行地震安全性评价过程中存在的一些问题。文中建议：针对高层建筑进行新的场地分类方法的研究;对高层建筑工程场地作地震安全性评价时,可根据高度的不同,适当简化安全性评价过程。     

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.     

高层建筑中轴线点恢复测量

高层建筑物中点恢复的测量方法是在负一层测定该建筑物的中点,再引到四层楼顶,最后重新确定施工放样数据,保证该建筑物的设计要求和施工监测。     

建筑物立面分类与DIM点云滤波

针对目前基于近景摄影测量方法构建建筑物立面模型过程中因密集影像匹配(DIM)点云噪声所引起的建筑物立面TIN网格模型畸变问题,本文借鉴机器学习中样本学习的思想,对建筑物立面进行了分类并对DIM点云提出了相应的滤波方法,以达到去除DIM点云噪声和改善其TIN网格模型畸变的目的.其中,针对平面结构立面,采取先对点云样本进行...     

北京城市空间形态对热岛分布影响研究

在城市尺度上探究城市空间形态布局对城市热岛(UHI)影响研究,对于城市规划中通风环境改善、生态宜居城市建设具有重要意义.以北京为例,利用2009-2018年高密度自动气象站逐小时气温资料和2018年NPP/VIIRS夜光卫星资料,分析了UHI时空分布特征;利用2017年1∶2000基础地理信息和Landsat8卫星资料...     

基于 CCD 方法的超高层建筑周日摆动监测研究

对超高层建筑塔体进行周日摆动监测,为施工投点纠偏和选择合适投点时机提供科学依据,是施工控制网竖向传递的核心问题。文中针对现有方法在自动化采集及实时表达方面的不足,基于自适应阈值激光光斑中心定位方法,自主研发基于CCD的塔体摆动监测系统,并采用倾斜仪方法与之做同步比较研究。两种方法在广州市东塔施工第三方监测中互为检核验证,具有借鉴意义。     

秦岭造山带地壳构造与楔入成山

横穿秦岭的河南叶县至湖北南漳的反射地震剖面揭示，秦岭造山带地壳由一系列由南向北楔入到中地壳的鳄鱼式构造所组成。南北溱岭上地壳分别形成南秦岭和北秦岭推覆系。北秦岭推覆系是组成基底的地壳沿脆转换面拆离冲叠形成的一个推覆系，可以分出栾川推覆体，瓦穴子推覆体，二郎坪推覆体及朱夏推覆体。     

Possible climate change/variability and human impacts,vulnerability of drought-prone regions,water resources and capacity building for Africa

ABSTRACT

This review article discusses the climate, water resources and historical droughts of Africa, drought indices, vulnerability, impact of global warming and land use for drought-prone regions in West, southern and the Greater Horn of Africa, which have suffered recurrent severe droughts in the past. Recent studies detected warming and drying trends in Africa since the mid 20th century. Based on the Fourth Assessment Report of the Intergovernmental Panel on Climate Change and the Coupled Model Intercomparison Project Phase 5 (CMIP5), both northern and southern Africa are projected to experience drying, such as decreasing precipitation, runoff and soil moisture in the 21st century and could become more vulnerable to the impact of droughts. The daily maximum temperature is projected to increase by up to 8°C (RCP8.5 of CMIP5), precipitation indices such as total wet day precipitation (PRCPTOT) and heavy precipitation days (R10 mm) could decrease, while warm spell duration (WSDI) and consecutive dry days (CDD) could increase. Uncertainties of the above long-term projections, teleconnections to climate anomalies such as ENSO and the Madden-Julian Oscillation, which could also affect the water resources of Africa, and capacity building in terms of physical infrastructure and non-structural solutions are also discussed. Given that traditional climate and hydrological data observed in Africa are generally limited, satellite data should also be exploited to fill the data gap for Africa in the future.

Editor D. Koutsoyiannis; Associate editor N. Ilich     

基于房屋普查数据的房屋增长规律研究

以辽宁省县级以上城镇房屋普查数据、辽宁农村民居房屋普查数据、统计年鉴及抽样调查等房屋数据为基础,对房屋普查数据统计单元进行重新划分及统计计算,实现了房屋普查数据与应急基础数据库房屋数据单元的统一。通过对统计单元各种房屋结构增长率的计算,结合统计分析方法,给出了辽宁省1134个乡镇级统计单元的房屋增长率分类情况。