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101.
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首先讨论了二元样条最小二乘拟合的原理和计算方法,然后给出了该方法在地图投影数据加密中的应用。结论表明,所述方法具有很好的精度和稳定性。 相似文献
103.
针对常规地图复制存在的问题,现在有一种新的地图复制技术和设备-地图出版系统。本文着重介绍该系统应用于地图复制过程的原理、方法和特点。 相似文献
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为适应信息时代地籍管理的要求,实现数字化地籍图的几何数据与属性数据的相互查询,可以满足地籍图动态管理的需要.针对宗地图图形数据与其属性数据相关联的特点,论述了基于AutoCAD Map2004,建立地籍图与外部数据库之间的连接的过程与方法,并介绍了图数互查方法和使用结构查询语言SQL查询宗地数据库的方法.为丰富地籍管理中的房屋信息,提出了建立房屋图像库的方法,通过建立图像库与图形的链接,在不增加地籍图文件储存空间大小的情况下,实现了由图形对象与其相应房屋图像的浏览. 相似文献
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文章运用市场经济发展规律的理论 ,分析地图市场在市场化、公平竞争和宏观调控诸方面的主要问题 ,并试图从市场经济与法治经济这二者的有机联系中 ,探讨依法管理地图市场的有效途径 相似文献
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地图扫描影像中的文字、符号注记与图形目标的分离是实现地图符号注记诱导自动识别的重要前提和基础,文中提出一种基于影像行的连接影像目标整体及交互的提取算法。借助该算法不仅可以有效地实现地图扫描影像中文字、符号注记与图形线划目标的分离,而且可以实现其它一些二值铁处理及分析。 相似文献
109.
COMPARISON OF METHODS FOR DISTINGUISHING DIFFERENT GRADES OF GEOMORPHOLOGIC SURFACES BASED ON SEDIMENT PARTICLE SIZE FEATURES: TAKING THE QINGYIJIANG RIVER BASIN AS AN EXAMPLE
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When using river geomorphology to study tectonic deformation, it is often difficult to distinguish the same level geomorphology in areas with severe weathering. In this paper, we take the geomorphologic surfaces of the Qingyijiang river basin as an example and try to distinguish the geomorphic surfaces by the sediment features that make up them. In order to distinguish different geomorphic surfaces, the traditional particle-size analysis method, SOFM network method and system clustering analysis method are taken to classify 29 samples from different geomorphic surfaces. The classification results of the three methods are different to a certain extent. We analyzed and compared the classification results of the three methods in detail. The results show that the traditional particle size analysis method, SOFM network method and cluster analysis method all can distinguish the geomorphic surface of different genesis, besides, they also can distinguish low-level terraces(T1, T2)and high-level terraces(T3, T4)for different grades of river terraces. Furthermore, the results also show that SOFM network method and cluster analysis method can make a certain distinction for the low-level terraces(T1, T2), while the traditional particle size analysis method is difficult to distinguish them.
In addition, we analyzed and compared the three methods from the classification results, the results presentation, the operation process, and the error transmission. The results suggest that the advantages and disadvantages of the three methods are obvious. From the perspective of the classification results, the three methods all can distinguish the river terraces and alluvial fans and can make certain discrimination for different levels of river terraces. From the presentation of the results, the result of SOFM network is simple and clear. From the operation process, the traditional particle-size analysis method is relatively cumbersome, and the SOFM network method and the cluster analysis method are relatively simple to operate. From the perspective of error transmission, the traditional particle-size analysis method calculates the partial particle size feature value of the sample, which has a certain loss for the particle size distribution information of the whole sample. The error of the clustering analysis method has cumulative features and the influence exists consistently. The classification results of the SOFM network are independent of each other, which effectively avoids the problem of such error transmission of clustering analysis method.
Overall, the classification results of the SOFM network method are simple and clear, the operation is simple, and the error is small. It has stronger adaptability to identifying different levels of different geomorphic surfaces. The results of this study will provide a simple and effective means for distinguishing different levels of geomorphic surfaces. 相似文献
110.
R. G. HEALEY 《International journal of geographical information science》2013,27(1):141-142
Cartographic modelling operations provide powerful tools for analysing and manipulating geographic data in the raster data model. This research extends these operations to the vector data model. It first discusses how the spatial scopes of analysis can be defined for point, line, and polygon features analogous to the raster cell. Then it introduces the local, focal, and zonal operations available for vector features, followed by providing a prototype syntax that might guide the implementation of these operations. Through example applications, this research also demonstrates the usefulness of these operations by comparing them with traditional vector spatial analysis. 相似文献