海岛岸线遥感立体测图精细测量方法

提出了一种海岛岸线遥感测图精细测量新方法,该方法直接基于理论定义的海岸线,利用航空影像瞬时水涯线数据在立体测图环境中提取瞬时水位高程;利用海岛周边精密海潮模型和瞬时水位高程推算海岛岸线高程;最后依据海岛岸线高程,采用立体测图方法测制海岛岸线的平面位置。该方法确保了海岛岸线成果的唯一性和连续性,适合大比例尺的大陆海岸线和海岛岸线测量。测试结果显示,在较高精度海潮模型和海面地形支持下,海岛岸线高程精度优于0.2 m,可满足1：2000测图要求。     

WorldView-Ⅲ卫星遥感数据在油气管道行业的应用与研究

建设油气输送管道需依据一定比例尺的带状地形图进行施工图设计,本文以WorldView-Ⅲ卫星0.31 m分辨率的遥感立体像对为数据源,利用MapMatrix遥感影像数据处理平台进行立体数据采集,采用AutoCAD和南方CASS软件进行数据编辑,输出满足需要的DLG(数字线划图)。通过比对地面检查点与DLG成果来研究所得DLG的平面和高程精度,为高分辨率遥感技术在油气输送管道行业探索了新的应用方向。     

第二次土地调查若干问题探讨

第二次土地调查的目的是全面查清全国土地利用状况,掌握真实的土地基础数据,如何保证调查的质量?文章以江阴市为例进行探讨。     

地图模型的研究

讨论了地图模型的实质,对地图模型的直观性、一览性、抽象性、概括性、可量测性、几何精确性、合成性、几何相似性、地理一致性、单义性、连续性、艺术性等认识论特性和表现形式的多样性、存储量的巨大性、信息传输性、信息多维动态性等信息论特性进行了重点分析了,并阐述了地图模型对计算机制图和地图分析应用的研究意义。     

土地更新调查成果与二次调查数据衔接问题的探讨

结合广西第二次土地调查工作实际,论述了在调查工作中对原土地更新调查成果的利用,对需补充、完善的调查内容逐一进行了分析和阐述,并对如何处理两次调查数据衔接中存在的问题提出了一些建议和看法。     

利用测日实现快速天文定向

介绍了天文方位角测量原理,给出了实用的计算太阳视位置的方法;研究了在白天恒星无法应用的情况下,利用电子经纬仪测日进行快速天文定向及方位角测量,给出了具体的实施方法及数据解算过程,并对实际测量数据进行了精度分析。     

最简单路径寻找方法研究

许多认知研究表明,路径指令的复杂性和形式在人类导航中和路径的长度一样重要。在很多情形下,我们所需要的不是到达目的地的最短路径,而是一条最简单路径,也就是容易描述、理解、记忆或者执行路线的导航指令。大多数自动导航系统都依赖于计算最短路径问题的解,而不是找到最简单路径。本文在分析人们对道路转向的认知研究基础上,采用了适合道路转向的路段-链数据模型,并从权重函数选择、算法具体实现和算法分析三个方面具体论述了最简单路径算法的主要思想和具体实施。     

基于ArcEngine的基础地理信息系统的设计与实现

介绍了利用ArcEngine技术开发基础GIS软件的特点,重点讨论了在GIS软件中查询功能、缓冲区功能和注记随地图缩放功能的实现.     

基于最小二乘法道路平面曲线拟合

结合最小二乘法的基本原理,利用其进行道路平面曲线拟合,实例表明,与三次样条函数设计计算结果接近,同样能满足路线设计要求,且简化了计算过程,在平面设计工作中具有很强的实用性。     

Improving the assessment of ICESat water altimetry accuracy accounting for autocorrelation

Given that water resources are scarce and are strained by competing demands, it has become crucial to develop and improve techniques to observe the temporal and spatial variations in the inland water volume. Due to the lack of data and the heterogeneity of water level stations, remote sensing, and especially altimetry from space, appear as complementary techniques for water level monitoring. In addition to spatial resolution and sampling rates in space or time, one of the most relevant criteria for satellite altimetry on inland water is the accuracy of the elevation data. Here, the accuracy of ICESat LIDAR altimetry product is assessed over the Great Lakes in North America. The accuracy assessment method used in this paper emphasizes on autocorrelation in high temporal frequency ICESat measurements. It also considers uncertainties resulting from both in situ lake level reference data. A probabilistic upscaling process was developed. This process is based on several successive ICESat shots averaged in a spatial transect accounting for autocorrelation between successive shots. The method also applies pre-processing of the ICESat data with saturation correction of ICESat waveforms, spatial filtering to avoid measurement disturbance from the land–water transition effects on waveform saturation and data selection to avoid trends in water elevations across space. Initially this paper analyzes 237 collected ICESat transects, consistent with the available hydrometric ground stations for four of the Great Lakes. By adapting a geostatistical framework, a high frequency autocorrelation between successive shot elevation values was observed and then modeled for 45% of the 237 transects. The modeled autocorrelation was therefore used to estimate water elevations at the transect scale and the resulting uncertainty for the 117 transects without trend. This uncertainty was 8 times greater than the usual computed uncertainty, when no temporal correlation is taken into account. This temporal correlation, corresponding to approximately 11 consecutive ICESat shots, could be linked to low transmitted ICESat GLAS energy and to poor weather conditions. Assuming Gaussian uncertainties for both reference data and ICESat data upscaled at the transect scale, we derived GLAS deviations statistics by averaging the results at station and lake scales. An overall bias of −4.6 cm (underestimation) and an overall standard deviation of 11.6 cm were computed for all lakes. Results demonstrated the relevance of taking autocorrelation into account in satellite data uncertainty assesment.