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基于激光测距的航空扫描影像中建筑物的自动提取
引用本文:徐逢亮,李树楷.基于激光测距的航空扫描影像中建筑物的自动提取[J].遥感学报,1999,3(3):171-174.
作者姓名:徐逢亮  李树楷
作者单位:中国科学院遥感应用研究所,北京,100101
基金项目:国家863 计划308 主题资助
摘    要:介绍了利用“机载激光影像制图系统”获得的激光测距,飞机姿态和位置数据解算出的地面三维信息同光谱辐射信息高度融合,用于快速自动地提取城市建筑物边界及高度的方法,探讨了地物的分裂/ 合并算法、建筑物与树木的分离、边界提取中初始种子点的选择和灰度参考值及阈值的自适应调整,针对影像中建筑物的扭曲采用了二维/ 三维变换和曲线模板,针对边缘模糊、不连续和强噪声等采用了统计判决和取样模板等等。并利用呼和浩特市区数据进行了验证。

关 键 词:建筑物提取  自动提取  扫描影像  激光测距  惯性导航系统  全球定位系统  数字高程模型  阴影分析
收稿时间:1998/5/13 0:00:00
修稿时间:9/3/1998 12:00:00 AM

Automatic Building Extraction from Airborne Scanning Image Based on Laser Ranging
XU Feng Liang and LI Shu Kai.Automatic Building Extraction from Airborne Scanning Image Based on Laser Ranging[J].Journal of Remote Sensing,1999,3(3):171-174.
Authors:XU Feng Liang and LI Shu Kai
Institution:XU Feng-Liang LI Shu-Kai; (Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101)
Abstract:This paper introduces a fast automatic building extraction method by the fusion of spectral information and three dimensional information acquired by "Airborne Laser Image Mapping System", which integrates the image scanner, laser scanner, inertial navigating system and global positioning system. This method involves the breaking and merging algorithm of laser ranging points, the separation of buildings and trees, the selection of initial seeds, the self adjustment of the spectral reference and threshold in region growing, and the reconstruction of whole building contour with edges of high reliability. To overcome the distortions of airborne scanning image, we extensively used two dimension/three dimension transformations and the concept of curve template. To deal with the blurring and brokeness of edges and strong noise, we applied a statistical decision algorithm and a sampling template. This method is experimented on the data of City Huhehaote.
Keywords:Building  extraction  Automatic  extraction  Scanning  image    Laser  ranging    Inertial navigating  system    Global  positioning  system    Digital  elevation  model    Shadow  analysis  
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