【24h】

Research on the production of 3D image cadastral map

机译:3D图像地籍图制作研究

获取原文
获取原文并翻译 | 示例

摘要

Recently, Unmanned Aerial Vehicle (UAV), equipped with different high accurate remote sensing sensors acquiring various physical or geometric spatial information has many mature applications in different fields, such as environmental patrol, pollution monitoring, disaster prevention and relief, and mapping. High resolution imagery acquisition and spatial geometric information extraction is still the current major application for UAV. The visual representation of traditional cadastral maps is still limited in 2D drawings. It seems insufficient to provide intuitive understanding of the variety of problems in high density residential areas. Even though the 2D cadastral maps can be overlapped on traditional semi orthophoto, it still represents in two dimensional map. It is very hard to represent land legal boundary and physical information on imagery preciously. Because 2D cadastral maps and 3D image-based model are produced separately, it is also a very challenge issue for the land boundary line to follow the variation of terrain surface. This study propose a 3D cadastral map production and update technology using UAV-derived imagery. This study overlaps the cadastral map with true orthophoto using 3D visualization technique which change the way for visual inspection of traditional cadastral map. In this study, digitized land corner coordinates from UAV-derived true orthophoto are verified by field survey data. The accuracy of these land corner points is proved to fulfill the requirement of cadastral map accuracy.
机译:近来,配备有获取各种物理或几何空间信息的不同高精度遥感传感器的无人机已经在不同领域中有许多成熟的应用,例如环境巡逻,污染监测,防灾救灾和制图。高分辨率图像采集和空间几何信息提取仍然是无人机的当前主要应用。传统地籍图的视觉表示仍在2D工程图中受到限制。似乎不足以直观地了解高密度住宅区中的各种问题。即使2D地籍图可以在传统的半正射影像上重叠,它仍以二维图表示。很难在图像上珍贵地代表土地法律边界和自然信息。由于2D地籍图和基于3D图像的模型是分别生成的,因此土地边界线要跟随地形的变化也是一个非常具有挑战性的问题。这项研究提出了一种使用无人机衍生影像的3D地籍图生成和更新技术。这项研究使用3D可视化技术将地籍图与真实正射影像重叠,从而改变了传统地籍图的视觉检查方式。在这项研究中,通过实地调查数据验证了来自无人机的真实正射影像的数字化陆角坐标。这些陆角点的精度被证明可以满足地籍图精度的要求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号