...
首页> 外文期刊>International journal of remote sensing >Satellite remote-sensing monitoring of a railway construction project
【24h】

Satellite remote-sensing monitoring of a railway construction project

机译:铁路建设项目的卫星遥感监测

获取原文
获取原文并翻译 | 示例
           

摘要

Current satellite remote-sensing technologies enable the timely and detailed monitoring of human activities on the Earth's surface. Sub-metre spatial resolution satellite images can picture the ongoing works of railway and highway construction. The synoptic view of satellite images is useful to assist the monitoring and management of such construction projects. In this article, we present an integrated remote-sensing change detection framework applied to monitoring the Light Rail Transport construction in Kuala Lumpur, Malaysia, using sub-metre optical remote-sensing images, Pleiades. Focusing on the known local area surrounding a construction site, the recognition process starts from the completion stage, checking conditions based on pre-defined rules, applying the recognition process corresponding to that stage, or moving to the immediately preceding stage if appropriate. The process ends when a new stage is identified and recorded into a spatio-temporal database or it reaches the previously detected stage as retrieved from the database. The experiment proved the effectiveness of the proposed framework, with an overall accuracy of about 80% and a low false detection rate. The proposed framework can be extended to monitor other similar scheduled works. Future studies will integrate multi-sensor satellite images including synthetic aperture radar images to expand further the practicality of the framework.
机译:当前的卫星遥感技术可以及时,详细地监视地球表面上的人类活动。亚米级空间分辨率的卫星图像可以描绘铁路和公路建设中正在进行的工作。卫星图像的概要视图有助于辅助此类建筑项目的监视和管理。在本文中,我们提出了一个集成的遥感变化检测框架,该框架使用亚米级光学遥感图像Pleiades来监控马来西亚吉隆坡的轻轨运输建设。着眼于建筑工地周围的已知局部区域,识别过程从完成阶段开始,根据预定义规则检查条件,应用与该阶段相对应的识别过程,或者在合适的情况下移至紧接在前的阶段。当识别出一个新阶段并将其记录到时空数据库中,或者达到从数据库中检索到的先前检测到的阶段时,该过程结束。实验证明了所提框架的有效性,总体准确率约为80%,错误检测率低。提议的框架可以扩展到监视其他类似的预定工作。未来的研究将整合包括合成孔径雷达图像在内的多传感器卫星图像,以进一步扩展该框架的实用性。

著录项

  • 来源
    《International journal of remote sensing》 |2018年第6期|1754-1769|共16页
  • 作者单位

    Univ Nottingham, Sch Environm & Geog Sci, Malaysia Campus, Semenyih, Selangor, Malaysia;

    Univ Nottingham, Sch Environm & Geog Sci, Malaysia Campus, Semenyih, Selangor, Malaysia;

    Univ Nottingham, Sch Comp Sci, Semenyih, Selangor, Malaysia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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