基于RDBMS的海量数字高程模型系统

介绍了用于海量数字高程模型数据的管理、应用分析以及可视化的系统GeoDEMDB，采用部件对象模型技术，实现了数据管理、空间分析和大范围三维场景漫游的集成，并提供了灵活的选择性。     

HUBEX强化观测期雷达测雨在水文过程模拟中的应用(英)

选择全球能量与水循环亚洲季风试验区的淮河黄泥庄水文站控制的史河流域(805 km2)为研究区域,基于数字高程模型,生成栅格水流流向,构建数字流域及空间拓扑关系;然后,将阜阳雷达观测数据经过订正校准后作为研究区内每一栅格单元上的雨量输入,并在每一栅格上应用新安江模型构建产流模型;再根据每一栅格至流域出口断面-黄泥庄水文站的距离,运用Muskingum方法进行汇流演算,从而获得黄泥庄站的流量过程。计算结果显示,从1998年5月31日-8月3日的强化观测期内模型确定性系数为92.41％,其间4场洪水的确定性系数分别为85.64％、86.62％、92.57％和83.91％,高于应用地面雨量计观测的数据计算的结果。这说明雷达测雨数据具有较高的时空分辨率,当它应用于水文过程模拟时优于地面雨量计资料,基于栅格的水文模型为充分利用雷达数据提供了良好平台。     

The dynamic characteristics and migration of a pyramid dune

The results of wind tunnel experiments and field observations show that when the intersection angle between airflow direction and dune crest (ridge) line is > 30°, a reverse vortex is formed. Because of the convergence of sand streams from the windward and lee slopes at the crest, sand accumulates in the crestal region, causing vertical growth. Nevertheless, studies also show that the common asymmetry of the two slopes of a dune may significantly influence the evolution of arms of a pyramid dune. The migration rates of pyramid dunes are mediated by the interplay of their arms moving transversely and the vertical growth in response to the variations in wind regimes. Comparing the effects of airflow transverse to a given arm with longitudinal airflow, it is indicated that the transverse airflow is more significant in controlling the arms of pyramid dunes. The whole body of the studied pyramid dune, particularly the upper quarter section, migrated SE direction during the monitoring period. The patterns of wind erosion and deposition change alternately with seasonal variations in wind directions. The W, NE and SE sides undergo constant erosion, deposition and both erosion and deposition, respectively. The results of long-term monitoring of a pyramid dune show that southerly winds, resulting from a local circulation, markedly affect the transverse migration of the whole pyramid dune.     

TRANSIT: a GIS toolbox for estimating the duration of ancient sail-powered navigation

Cost-surface analysis in Geographic Information System (GIS) environment has been less frequently used in the study of ancient sail navigation than in other studies of the human past. Navigation cost-surface analysis entails the use of GIS tools that are versatile but not very easy to grasp and to put to work. This article describes an ArcGIS toolbox built to facilitate cost-surface analysis of ancient sail navigation. It estimates the navigation time from a start location, considering parameters relevant for the generation of an accumulated anisotropic cost-surface, automating the complex workflow required to meaningfully pre- and post-process the data. Acknowledging the limitations inherent to the tool, and to the modeling of a complex matter such as sail navigation, the toolbox is first described and then used in a worked example. Historically recorded voyages in the Mediterranean during classical antiquity are compared to estimated durations generated by the toolbox. In spite of structural and expected limitations, the results indicate that the proposed toolbox may produce reasonable estimates. These should be thought of as values gravitating around, not matching, likely past durations. The estimated values may prove useful as an indication of the order of magnitude of past voyages’ duration, and as frame of reference in measuring ancient maritime space through time.     

Semantic segmentation of high spatial resolution images with deep neural networks

Availability of reliable delineation of urban lands is fundamental to applications such as infrastructure management and urban planning. An accurate semantic segmentation approach can assign each pixel of remotely sensed imagery a reliable ground object class. In this paper, we propose an end-to-end deep learning architecture to perform the pixel-level understanding of high spatial resolution remote sensing images. Both local and global contextual information are considered. The local contexts are learned by the deep residual net, and the multi-scale global contexts are extracted by a pyramid pooling module. These contextual features are concatenated to predict labels for each pixel. In addition, multiple additional losses are proposed to enhance our deep learning network to optimize multi-level features from different resolution images simultaneously. Two public datasets, including Vaihingen and Potsdam datasets, are used to assess the performance of the proposed deep neural network. Comparison with the results from the published state-of-the-art algorithms demonstrates the effectiveness of our approach.     

一种基于复合金字塔模型的三维模型数据组织方法

针对异构三维模型数据的统一组织和集成管理问题,本文以目前主流金字塔模型、三维场景瓦片的数据组织方法和地图服务规范等相关技术为基础,提出了一种基于复合金字塔模型的三维模型数据组织方法。该方法首先构建覆盖测区的地理格网模型,以此作为异构三维模型数据集成的空间框架。其次,建立三维模型数据与地理格网单元的映射关系,从而构建复合金字塔模型,实现异构三维模型数据的统一管理。最后,在数据结构上对现有数据格式进行扩展,设计了一种面向网络传输的数据格式储存三维模型数据,完成异构三维模型数据的一体化存储。试验结果表明,该方法能够实现异构三维模型数据统一组织与集成管理。     

控制点影像库在遥感影像几何纠正中的应用

影像几何纠正是遥感图像处理的重要技术。为了克服现有方法在实际应用中的不足,提出利用控制点影像库进行影像自动匹配,然后进行几何变化的方式。这种方法简单有效,快速稳定,匹配得到的同名点数量足够且分布均匀,并通过引入最小二乘匹配使配准达到子像素精度,提高几何纠正的速度与可靠性。     

矢量图形与影像图像一体化实现

本文在阐述影像金字塔相关理论（构建方法、影像切割等）的基础上,采用VC2005编程实现了在同一GIS系统中进行矢量数据和栅格数据叠加显示的功能模块。该模块可确定是否加载影像,并根据当前矢量图显示范围自动加载不同分辨率的影像图。     

基于栅格叠合的沉积物底质图生成方法

文章提出了一种基于GIS空间插值和栅格图叠合技术,分析生成沉积物底质图的方法,并以曹妃甸海区为例,以170个海底表层沉积物样的粒度分析结果为依据,应用本文设计的方法生成这一海区的底质分布图,并用预留的20个采样点进行了精度分析和检验,在此基础上比较了不同的空间插值方法对生成的底质图结果的影响.结果显示出这一方法成图速度快、自动化程度高,但也存在对原始数据精度要求高、插值方法带来误差等问题.在借鉴传统底质图生成方法的基础上,运用三维TIN模型对成图结果进行改进,最终形成一种结合地貌要素的栅格叠合的沉积物底质图生成方法.     

全国土地利用动态监测结果栅格数据矢量化

为了有效地管理和使用国土资源大调查中的土地利用动态监测成果数据 ,将监测成果及时有效地应用于日常的土地管理和规划中 ,需要建立动态监测数据库。本文阐述了在建立数据库过程中 ,如何将动态监测成果的栅格数据矢量化以及如何将栅格数据和矢量数据统一到一个地理数据库系统中的方法