• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>COTA international conference of transportation professionals >Research on Image Dynamic Blurring Reconstruction Algorithm in 3S-UAV Traffic Modeling Platform
【24h】

Research on Image Dynamic Blurring Reconstruction Algorithm in 3S-UAV Traffic Modeling Platform

机译：3S-UAV交通建模平台中图像动态模糊重建算法的研究

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Now unmanned aerial vehicle (UAV) plays a more and more important role in urban traffic management in Shenzhen, because of the advantages of flexible, rapid response, and low cost. One of the challenges of constructing digital urban traffic model is that it cannot obtain the static and dynamic road traffic data quickly, accurately, and effectively. In this paper, a real-time modeling platform for urban road traffic based on 3S (RS, GPS, GIS) and UAV is proposed, which is oriented to urban traffic modeling and simulation analysis. Emphasis is placed on the blurring dynamic reconstruction model and algorithm of low altitude airborne aerial video images. The motion-blurred degraded model and the motion blur reconstruction algorithm based on Radon transform are designed. Finally, the method is verified by the measured data.
机译：现在，由于其灵活，快速反应和低成本的优势，无人机在深圳城市交通管理中扮演着越来越重要的角色。构建数字城市交通模型的挑战之一是无法快速，准确，有效地获取静态和动态道路交通数据。本文提出了一种基于3S（RS，GPS，GIS）和无人机的城市道路交通实时建模平台，该平台面向城市交通建模和仿真分析。重点放在低空机载航拍视频图像的模糊动态重建模型和算法上。设计了基于Radon变换的运动模糊退化模型和运动模糊重建算法。最后，通过实测数据验证了该方法的有效性。

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