您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

An Object-Based Method for Urban Land Cover Classification Using Airborne Lidar Data

文献类型： 外文期刊

作者： Chen, Ziyue 1 ; Gao, Bingbo 3 ;

作者机构： 1.Univ Cambridge, Cambridge, England

2.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China

3.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： Airborne Lidar;elevation difference;intensity difference;object-based classification;urban

期刊名称：IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING （ 影响因子：3.784； 五年影响因子：3.734 ）

ISSN： 1939-1404

年卷期： 2014 年 7 卷 10 期

页码：

收录情况： SCI

摘要： Airborne Lidar (Light detection and ranging) data have been widely used for classifying different land cover types. However, few researchers have conducted urban land cover classification using discrete airborne Lidar data as the sole data source. This research explores the possibility of applying airborne Lidar data to land cover classification in urban areas. The elevation difference and intensity difference between the first and last return, which may not work efficiently in pixel-based classification, were employed as two key attributes at the object level. Since tree objects have a much larger proportion of returns which show the elevation and intensity difference, the two indicators were used to classify the most indistinguishable land cover types, buildings and trees. In addition, height and intensity information were integrated to classify other land cover types. A case study was conducted in the city of Cambridge and eight urban land cover types were classified with an overall accuracy of 93.6%. Each land cover type was classified with an accuracy of between 80% and 100% and among these types, the accuracy of more than 90% for trees and buildings was satisfactory.

  • 相关文献

[1]An Image-Segmentation-Based Urban DTM Generation Method Using Airborne Lidar Data. Chen, Ziyue,Xu, Bing,Gao, Bingbo. 2016

[2]Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping. Wu, Mingquan,Niu, Zheng,Wang, Changyao,Li, Wang,Wu, Mingquan,Yang, Chenghai,Song, Xiaoyu,Hoffmann, Wesley Clint,Song, Xiaoyu,Huang, Wenjiang. 2017

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台