DLT方法在遥感相机几何定标中的应用

为建立适用于遥感相机定标的实验室,需要有几何标定的算法和软件对摄影图像进行计算.使用近景摄影测量中基于3维控制场的定标方法,对单CCD四波段遥感相机进行了几何定标,研究并自主编程实现了直接线性变换DLT(Direct Linear Transformation)算法,与基于空间后方交会算法的定标结果进行了精度对比.结论...     

基于DPGRID快速影像纠正技术的应用研究

随着各个领域对高精度遥感影像需求的不断增加,如何快速纠正影像数据以满足工程应用成为关注的热点。本文结合基础地理数据库更新项目,利用DPGRID航空正射影像快速更新图像处理软件对高精度影像数据进行快速纠正技术的应用研究,实现对现有高精度影像有效利用的目的。     

利用几何网络提取河网径流节点的方法研究

本文分析了河网径流节点的基本特征及分类,论述了基于ArcGIS水文分析模块提取河网径流的方法,并在此基础上提出了基于几何网络提取河网径流节点的方法.该方法提取得到的径流节点,除能表达其位置信息外,属性表中还记录了径流节点类型、汇流等级情况信息.实例表明该方法原理简单,易于操作实现,提取效果与实际地貌情况基本相符,可以广...     

多源地理空间矢量数据关联分析

针对多源地理空间矢量数据多来源、难以集成综合利用这一现状,本文提出了多源地理空间矢量数据关联方法,并以此为基础构建了多源地理空间矢量数据关联的可视与计算查询系统。首先,对多源地理空间矢量数据关联的概念及分类进行了定义。然后,以此为基础,提出了关联关系构建技术：自适应四叉树编码技术、扫描线技术、几何匹配及语义匹配技术。最后,为实现关联关系的直观展示,设计了原型系统。关联技术的提出可建立起多源地理空间矢量数据之间的关联关系,原型系统的构建也为用户综合利用多源地理空间矢量数据提供了平台,提高了数据的利用率及数据查询的效能。     

基于ArcGIS的大比例尺矢量电子地图制图研究

以基于ArcGIS的电子地图制图为研究对象,探讨了电子地图制图的技术流程和方法,详细阐述了使用Maplex引擎对标注进行处理的相关方法,从而创建高质量的动态标注,优化地图标注的数量和质量,为地理信息公共服务平台在线地图展示、浏览和标注提供了数据资源。     

SAR影像中叠掩与阴影区域的识别 ——以湖北巴东为例

SAR影像中叠掩和阴影区域的识别是滑坡监测中的首要工作,本文针对这一工作利用雷达卫星成像时的几何模型与图像处理中形态学方法综合识别叠掩与阴影区域,以ALOS-2数据为例,对比该地区雷达强度图像,验证了本文试验方法的可靠性。     

资源三号卫星影像纠正的方法研究

影像的应用前提是影像处理,大气校正可消除大气和光照等因素对地物发射的影响。在此基础上,介绍几种常用的几何纠正方法,可消除系统和非系统因素引起的影像几何变形。本文通过对资源三号卫星的基本参数信息和相对应影像数据特点的介绍,先通过大气校正,校正后的影像分别使用几何纠正的几种方法,并通过各种方法的计算量、实用性以及相应的精度,对比分析各种方法在处理这种数据时的优越性。     

“天绘一号”卫星测绘相机在轨几何定标

卫星在空间环境运转过程中, 测绘相机的几何参数会发生不可预估的变化, 从而对摄影测量定位精度和数据处理精度产生影响。因此, 所有测绘卫星都对星载相机的几何参数进行在轨定标, 监测相机几何参数在轨运行状态下的变化情况。本文着重介绍了“天绘一号”卫星在轨几何定标的内容和采用的方法。     

Design principles for origin-destination flow maps

Origin-destination flow maps are often difficult to read due to overlapping flows. Cartographers have developed design principles in manual cartography for origin-destination flow maps to reduce overlaps and increase readability. These design principles are identified and documented using a quantitative content analysis of 97 geographic origin-destination flow maps without branching or merging flows. The effectiveness of selected design principles is verified in a user study with 215 participants. Findings show that (a) curved flows are more effective than straight flows, (b) arrows indicate direction more effectively than tapered line widths, and (c) flows between nodes are more effective than flows between areas. These findings, combined with results from user studies in graph drawing, conclude that effective and efficient origin-destination flow maps should be designed according to the following design principles: overlaps between flows are minimized; symmetric flows are preferred to asymmetric flows; longer flows are curved more than shorter or peripheral flows; acute angles between crossing flows are avoided; sharp bends in flow lines are avoided; flows do not pass under unconnected nodes; flows are radially distributed around nodes; flow direction is indicated with arrowheads; and flow width is scaled with represented quantity.     

A geometric-based approach for road matching on multi-scale datasets using a genetic algorithm

Object matching is used in various applications including conflation, data quality assessment, updating, and multi-scale analysis. The objective of matching is to identify objects referring to the same entity. This article aims to present an optimization-based linear object-matching approach in multi-scale, multi-source datasets. By taking into account geometric criteria, the proposed approach uses real coded genetic algorithm (RCGA) and sensitivity analysis to identify corresponding objects. Moreover, in this approach, any initial dependency on empirical parameters such as buffer distance, threshold of spatial similarity degree, and weights of criteria is eliminated and, instead, the optimal values for these parameters are calculated for each dataset. Volunteered geographical information (VGI) and authoritative data with different scales and sources were used to assess the efficiency of the proposed approach. According to the results, in addition to an efficient performance in various datasets, the proposed approach was able to appropriately identify the corresponding objects in these datasets by achieving higher F-Score.