• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >A Comprehensive Automated 3D Approach for Building Extraction Reconstruction and Regularization from Airborne Laser Scanning Point Clouds
【2h】

A Comprehensive Automated 3D Approach for Building Extraction Reconstruction and Regularization from Airborne Laser Scanning Point Clouds

机译：用于从机载激光扫描点云中提取重建和规范化建筑物的全面自动化3D方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Three dimensional city models are necessary for supporting numerous management applications. For the determination of city models for visualization purposes, several standardized workflows do exist. They are either based on photogrammetry or on LiDAR or on a combination of both data acquisition techniques. However, the automated determination of reliable and highly accurate city models is still a challenging task, requiring a workflow comprising several processing steps. The most relevant are building detection, building outline generation, building modeling, and finally, building quality analysis. Commercial software tools for building modeling require, generally, a high degree of human interaction and most automated approaches described in literature stress the steps of such a workflow individually. In this article, we propose a comprehensive approach for automated determination of 3D city models from airborne acquired point cloud data. It is based on the assumption that individual buildings can be modeled properly by a composition of a set of planar faces. Hence, it is based on a reliable 3D segmentation algorithm, detecting planar faces in a point cloud. This segmentation is of crucial importance for the outline detection and for the modeling approach. We describe the theoretical background, the segmentation algorithm, the outline detection, and the modeling approach, and we present and discuss several actual projects.
机译：三维城市模型对于支持众多管理应用程序是必需的。为了确定用于可视化目的的城市模型，确实存在几种标准化的工作流程。它们要么基于摄影测量法，要么基于LiDAR，或者基于两种数据采集技术的结合。但是，可靠和高度准确的城市模型的自动确定仍然是一项艰巨的任务，需要一个包含多个处理步骤的工作流。最相关的是建筑物检测，建筑物轮廓生成，建筑物建模，最后是建筑物质量分析。通常，用于构建建模的商业软件工具需要高度的人员交互，并且文献中描述的大多数自动化方法都单独强调了这种工作流程的步骤。在本文中，我们提出了一种综合方法，可根据机载采集的点云数据自动确定3D城市模型。它基于这样的假设：可以通过组合一组平面对各个建筑物进行正确建模。因此，它基于可靠的3D分割算法，可检测点云中的平面。这种分割对于轮廓检测和建模方法至关重要。我们描述了理论背景，分割算法，轮廓检测和建模方法，并提出并讨论了一些实际项目。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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