• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Pixels, Objects, Intelligence: GEOgraphic Object Based Image Analysis for the 21st Century >MAPPING ROAD TRAFFIC CONDITIONS USING HIGH RESOLUTION SATELLITE IMAGES
【24h】

MAPPING ROAD TRAFFIC CONDITIONS USING HIGH RESOLUTION SATELLITE IMAGES

机译：使用高分辨率卫星图像进行映射道路交通条件

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

摘要

Construction, development and maintenance of the road network are central activities for several public authorities. In cooperation with the Norwegian road authorities, we have developed an approach for automated vehicle detection and generation of traffic statistics from QuickBird images. Satellite surveillance serves several obvious advantages over the methods that are being used today, which consist of expensive single-point measurements made from pressure sensors, video surveillance etc., in or close to the road. Based on advice from the road authorities of Norway, we have selected a set of study sites from different parts of the country, such that our image data represents the diversity of road types and solar illumination conditions. Road and vegetation masks are applied to the image so that the search for vehicles is restricted to the (paved parts of the) roads only. For segmentation, we have applied techniques that seek to locate the modes of the image histogram. The resulting segments are then examined by feature extraction and classified adopting the maximum likelihood method. Additionally, we propose a new approach for car shadow removal. The described methods are implemented and tested against manual vehicle counts. We also compare the results to area traffic cover statistics estimated from single-point measurements. Manual vehicle counts indicate that there is some ambiguity in the interpretation of the images. Nevertheless, the automatic method that we have developed in this study performs very well compared with the reported manual counts.
机译：道路网络的建设，发展和维护是若干公共当局的核心活动。与挪威公路当局合作，我们开发了一种自动化车辆检测和从Quickbird图像产生的流量统计的方法。卫星监控优于今天使用的方法提供了几种明显的优势，该方法包括由压力传感器，视频监控等，或靠近道路的昂贵单点测量。基于挪威公路当局的建议，我们选择了来自该国不同地区的一组学习网站，使我们的图像数据代表道路类型和太阳能照明条件的多样性。道路和植被面罩应用于图像，以便仅搜索车辆仅限于（铺砌的部分）道路。对于分段，我们已经应用了寻求定位图像直方图模式的技术。然后通过特征提取和分类采用最大似然方法来检查所得段。此外，我们提出了一种新的汽车影子去除方法。对所描述的方法进行了实施和测试了手动车辆计数。我们还将结果与单点测量估算的区域流量覆盖统计数据进行比较。手动车辆计数表明图像的解释中存在一些模糊性。然而，与报告的手动计数相比，我们在本研究中开发的自动方法非常好。

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