首页> 外文会议>25th Asian conference on remote sensing (ACRS Silver Jubilee) >CHARACTERISING ELEMENTS OF URBAN MORPHOLOGY FROM HIGHRESOLUTION OPTICAL REMOTE SENSING IMAGES
【24h】

CHARACTERISING ELEMENTS OF URBAN MORPHOLOGY FROM HIGHRESOLUTION OPTICAL REMOTE SENSING IMAGES

机译:基于高分辨率光学遥感图像的城市形态特征

获取原文
获取原文并翻译 | 示例

摘要

Research into ways of characterising or inferring elements of urban morphology byrnimage analysis of high spatial resolution images from earth-observing satellites shows promise. Road networks form an important component of urban morphology and have been a focus of research in image analysis of cities. Automatic identification of road networks without user intervention and ancillary data like recent maps, however, has not been very successful so far, due to variations in surface illumination, width, surface material, etc. In other words, the local spectral and geometric characteristics of roads are not sufficiently distinctive to separate them from background structures. This paper endeavors to develop a method for the detection of roads in urban scenes of high resolution satellite imagery based on a multiscale feature tracking version of derivative-of-Gaussian based line detector.
机译:通过对来自地球观测卫星的高分辨率图像进行图像分析来研究表征或推断城市形态要素的方法显示出了希望。道路网络是城市形态的重要组成部分,一直是城市图像分析研究的重点。到目前为止,由于表面照度,宽度,表面材料等的变化,在没有用户干预和诸如最近的地图等辅助数据的情况下,自动识别道路网络尚未取得成功。换句话说,道路网的局部光谱和几何特征道路的特征不足以将其与背景结构区分开。本文致力于基于高斯导数线检测器的多尺度特征跟踪版本,开发一种高分辨率卫星图像的城市场景中道路检测方法。

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