首页> 外文会议>IAPR Workshop on Pattern Recognition in Remote Sensing >Road Map Update from Satellite Images by Object Segmentation and Change Analysis
【24h】

Road Map Update from Satellite Images by Object Segmentation and Change Analysis

机译:通过对象分割和变化分析从卫星图像更新路线图

获取原文

摘要

This paper studies to detect the change of road network from remote sensing images. Our purpose is to apply the method for practical usages, such as navigation map updating, road construction supervision, disaster survey, and so on. The proposed approach assumes that there is an outdated road map and the updating job is performed by detecting new road network and comparing the changes. The deep convolution network is utilized for precisely segmenting road areas. An image registration and correction procedure is performed to unify the spatial coordinate reference between the old map and the new road detection results. Then, we modify and standardize the extracted road segments, and apply it to determine the road variation of different periods. Experiments show that, the proposed method successfully identifies road changes, which is useful for fast map update in remote areas.
机译:本文研究从遥感图像中检测道路网络的变化。我们的目的是将该方法应用于实际用途,例如导航图更新,道路建设监督,灾害调查等。所提出的方法假定存在过时的路线图,并且通过检测新的道路网络并比较变化来执行更新工作。深度卷积网络用于精确分割道路区域。执行图像配准和校正过程以统一旧地图和新道路检测结果之间的空间坐标参考。然后,我们对提取的路段进行修改和标准化,并将其应用于确定不同时期的道路变化。实验表明,该方法成功地识别了道路变化,对于边远地区的快速地图更新很有用。

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