房产测绘的自动化处理解析和应用     

茅琦  何云贵  王智峰 《测绘与空间地理信息》2016,(9)

主要介绍了基于AutoCAD和Microsoft Office Access在房产测绘中实现自动化处理及电子数据入库管理和出图批量自动打印等方案,以及在实际生产作业中的操作流程。从而实现在房产测绘中提高作业效率,杜绝内外业衔接过程中的各种不确定因素,保证了数据的可靠性。  相似文献   

旅游社区多群体态度差异和冲突倾向的空间特征——以西安汤峪镇为例   总被引：2，自引：0，他引：2  

褚玉杰  赵振斌  张铖  陈诚  陈幺 《地理学报》2016,71(6):1045-1058

随着乡村旅游的快速发展,乡村旅游社区逐步成为多群体竞争与冲突的场所,其内部多群体的态度差异成为指示社区冲突的重要指标。本文以西安汤峪镇为例,采用参与式制图（Participatory Mapping）和半结构访谈方法对当地居民、度假购房业主和游客3类群体的旅游开发态度和景观价值感知进行调查,最终获得315套访谈表与填图,共提取空间信息点5518个。基于对Brown等土地利用冲突倾向指标模型的修订,并结合地理空间分析方法探讨旅游社区态度差异和冲突倾向的空间特征。结论显示：① 旅游开发态度及其差异具有明显的地点指向性,并与景观价值的空间感知相关联。旅游开发冲突倾向空间上并非均匀分布,而是呈斑状格局,高值集中于社区旅游开发核心区域,且强度由开发的核心区域向外围区域减弱;② 潜在冲突地点的形成既有传统冲突因素的影响,又有特殊空间因素的作用,旅游开发要素的空间结构、多人群景观价值的空间感知、社区旅游发展阶段和相关人群的涉入程度都会影响冲突空间的形成;③ 参与式制图与深度访谈结合的方法能够帮助获得多人群主观数据,为认识态度和旅游开发冲突的空间特征提供了新的技术支撑。  相似文献   

Automatic near-photorealistic 3-D modelling and texture mapping for rectilinear buildings     

Emre Sümer  Mustafa Turker 《国际地球制图》2017,32(6):678-696

Three-dimensional (3-D) representations of urban regions have gained much attention because of recent developments in remote sensing and computer graphics technologies. In particular, textured 3-D building reconstruction for a variety of applications has been a popular research topic in recent years. In this study, we present the reconstruction of 3-D building models along with texture selection and mapping. Extracted two-dimensional building patches and normalized digital surface model (nDSM) data are used to generate the 3-D models. To build near-photorealistic 3-D models, the acquired geo-referenced facade textures are associated with the corresponding building facades using an automated GPS-assisted approach. On the other hand, the modelling and texture mapping of the roof structures were carried out manually. The study area is composed of eight housing estates (blocks), where a total of 110 buildings were analysed. The whole study area was modelled, with facade textures, in less than 1 min of processor running time with an acceptable level of accuracy. The texture mapping was carried out using MATLAB’s Virtual Reality Toolbox?.  相似文献   

无人机测绘在海岛监测中的应用研究     

李英会 《测绘与空间地理信息》2017,40(11)

近年来,我国海岛经济发展迅速,海岛附近的土地利用变更迅速,需要采用更为快捷的测绘手段实现对海岛的动态监测。无人机测绘为海岛监测提供了一种现代化的手段,具有机动、灵活、快速等特点。本文利用无人机对大连西中岛附近海域进行航摄,通过对影像进行一系列处理,获取了该区域的大比例尺地形图及正射影像,验证了无人机测绘在海岛监测中的可行性。  相似文献   

基于EPS平台的基础地理信息数据重要要素的更新     

孙凯  薛晓轩  徐凯 《测绘与空间地理信息》2017,40(11)

EPS地理信息工作站集信息化测绘生产技术体系、工艺流程、生产工具、数据管理于一体,是GIS技术与CAD技术高度融合的产品,通过该平台可以实现数据航测立体采集、数据采编、入库一体化作业。本文通过探讨基础地理信息数据重要要素的更新,提出了应用EPS地理信息工作站进行重要要素更新的技术方法。  相似文献   

测绘技术在大遗址保护中的应用     

周磊  梁爽  李海泉  李俊  南竣祥 《测绘与空间地理信息》2017,40(7)

石峁遗址作为重要的考古发现具有重大的学术意义,本文利用三维激光扫描技术、无人机航摄技术、GPS技术、数字化测图技术等多种测绘技术对石峁本体及周边环境进行测量,得到了多种测绘成果,是利用多种信息化测绘技术服务于文物保护的成功应用,为以后开展同类大遗址保护项目积累了宝贵经验。  相似文献   

The use of predictive analysis in spatiotemporal crime forecasting: Building and testing a model in an urban context     

《Applied geography (Sevenoaks, England)》2017

Police databases hold a large amount of crime data that could be used to inform us about current and future crime trends and patterns. Predictive analysis aims to optimize the use of these data to anticipate criminal events. It utilizes specific statistical methods to predict the likelihood of new crime events at small spatiotemporal units of analysis. The aim of this study is to investigate the potential of applying predictive analysis in an urban context. To this end, the available crime data for three types of crime (home burglary, street robbery, and battery) are spatially aggregated to grids of 200 by 200 m and retrospectively analyzed. An ensemble model is applied, synthesizing the results of a logistic regression and neural network model, resulting in bi-weekly predictions for 2014, based on crime data from the previous three years. Temporally disaggregated (day versus night predictions) monthly predictions are also made. The quality of the predictions is evaluated based on the following criteria: direct hit rate (proportion of incidents correctly predicted), precision (proportion of correct predictions versus the total number of predictions), and prediction index (ratio of direct hit rate versus proportion of total area predicted as high risk). Results indicate that it is possible to attain functional predictions by applying predictive analysis to grid-level crime data. The monthly predictions with a distinction between day and night produce better results overall than the bi-weekly predictions, indicating that the temporal resolution can have an important impact on the prediction performance.  相似文献   

Aboveground biomass mapping in French Guiana by combining remote sensing,forest inventories and environmental data     

《International Journal of Applied Earth Observation and Geoinformation》2016

Mapping forest aboveground biomass (AGB) has become an important task, particularly for the reporting of carbon stocks and changes. AGB can be mapped using synthetic aperture radar data (SAR) or passive optical data. However, these data are insensitive to high AGB levels (>150 Mg/ha, and >300 Mg/ha for P-band), which are commonly found in tropical forests. Studies have mapped the rough variations in AGB by combining optical and environmental data at regional and global scales. Nevertheless, these maps cannot represent local variations in AGB in tropical forests. In this paper, we hypothesize that the problem of misrepresenting local variations in AGB and AGB estimation with good precision occurs because of both methodological limits (signal saturation or dilution bias) and a lack of adequate calibration data in this range of AGB values. We test this hypothesis by developing a calibrated regression model to predict variations in high AGB values (mean >300 Mg/ha) in French Guiana by a methodological approach for spatial extrapolation with data from the optical geoscience laser altimeter system (GLAS), forest inventories, radar, optics, and environmental variables for spatial inter- and extrapolation. Given their higher point count, GLAS data allow a wider coverage of AGB values. We find that the metrics from GLAS footprints are correlated with field AGB estimations (R² = 0.54, RMSE = 48.3 Mg/ha) with no bias for high values. First, predictive models, including remote-sensing, environmental variables and spatial correlation functions, allow us to obtain “wall-to-wall” AGB maps over French Guiana with an RMSE for the in situ AGB estimates of ∼50 Mg/ha and R² = 0.66 at a 1-km grid size. We conclude that a calibrated regression model based on GLAS with dependent environmental data can produce good AGB predictions even for high AGB values if the calibration data fit the AGB range. We also demonstrate that small temporal and spatial mismatches between field data and GLAS footprints are not a problem for regional and global calibrated regression models because field data aim to predict large and deep tendencies in AGB variations from environmental gradients and do not aim to represent high but stochastic and temporally limited variations from forest dynamics. Thus, we advocate including a greater variety of data, even if less precise and shifted, to better represent high AGB values in global models and to improve the fitting of these models for high values.  相似文献   

Assessing the accuracy of hyperspectral and multispectral satellite imagery for categorical and Quantitative mapping of salinity stress in sugarcane fields     

《International Journal of Applied Earth Observation and Geoinformation》2016

This study evaluates the feasibility of hyperspectral and multispectral satellite imagery for categorical and quantitative mapping of salinity stress in sugarcane fields located in the southwest of Iran. For this purpose a Hyperion image acquired on September 2, 2010 and a Landsat7 ETM+ image acquired on September 7, 2010 were used as hyperspectral and multispectral satellite imagery. Field data including soil salinity in the sugarcane root zone was collected at 191 locations in 25 fields during September 2010. In the first section of the paper, based on the yield potential of sugarcane as influenced by different soil salinity levels provided by FAO, soil salinity was classified into three classes, low salinity (1.7–3.4 dS/m), moderate salinity (3.5–5.9 dS/m) and high salinity (6–9.5) by applying different classification methods including Support Vector Machine (SVM), Spectral Angle Mapper (SAM), Minimum Distance (MD) and Maximum Likelihood (ML) on Hyperion and Landsat images. In the second part of the paper the performance of nine vegetation indices (eight indices from literature and a new developed index in this study) extracted from Hyperion and Landsat data was evaluated for quantitative mapping of salinity stress. The experimental results indicated that for categorical classification of salinity stress, Landsat data resulted in a higher overall accuracy (OA) and Kappa coefficient (KC) than Hyperion, of which the MD classifier using all bands or PCA (1–5) as an input performed best with an overall accuracy and kappa coefficient of 84.84% and 0.77 respectively. Vice versa for the quantitative estimation of salinity stress, Hyperion outperformed Landsat. In this case, the salinity and water stress index (SWSI) has the best prediction of salinity stress with an R² of 0.68 and RMSE of 1.15 dS/m for Hyperion followed by Landsat data with an R² and RMSE of 0.56 and 1.75 dS/m respectively. It was concluded that categorical mapping of salinity stress is the best option for monitoring agricultural fields and for this purpose Landsat data are most suitable.  相似文献   

公开DEM辅助无地面控制点国产卫星影像定位方法   总被引：3，自引：1，他引：2  

陈小卫  张保明  张同刚  郭海涛  岑敏仪 《测绘学报》2016,45(11):1361-1370

在全球测绘的背景下,为实现无地面控制点的卫星摄影测量,提出了利用公开DEM辅助国产卫星影像进行无控定位的方法。为充分利用公开DEM在大范围内具有一致稳定的高精度特性,将其作为基准与从影像中提取的待定位DEM进行表面匹配,匹配时采用引入截尾最小二乘估计的最小高差(LZD)法,并根据对应点高差的分布自适应探测及剔除DEM之间的差异;匹配确定的变换参数用于对直接定位结果进行物方改正。设计了多组针对天绘一号和资源三号国产卫星影像的对比试验,结果表明本方法切实可行,能充分利用基准DEM的优势,具有较好的稳健性;定位精度很大程度上取决于但不限于基准DEM的精度,基本不受其分辨率的影响;当待定位DEM分辨率较高时,单景影像利用SRTM DEM即可得到能较好满足1∶5万比例尺地形图测制要求的无控定位精度。本方法还为卫星影像定位精度的检核提供了一种新的有效手段。  相似文献