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遥感技术与应用  2010, Vol. 25 Issue (6): 821-827    DOI: 10.11873/j.issn.1004-0323.2010.6.821
专题报道     
全波形激光雷达和航空影像联合的地物分类
周梦维1,2,柳钦火1,刘强1,肖青1
(1.北京师范大学/中国科学院遥感应用研究所遥感科学国家重点实验室,北京100101;
2.中国科学院研究生院,北京100049)
A Method for Classification by Fusing Full-waveform Airborne Laser Scanning Data and Aerial Images
ZHOU Meng-wei1,2,LIU Qin-huo1,LIU Qiang1,XIAO Qing1
(1.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of
Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University,
Beijing 100101,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(6094 KB)  
摘要:

针对机载激光雷达与航空光学影像的互补特性,提出了一种基于多源遥感数据的高精度地物信息提取和分类方法。首先从激光雷达的全波形数据获得数字高程模型(DEM)、地物的正规化数字表面模型(nDSM)和激光雷达回波相对强度信息,从航空数码相机影像获得植被指数信息;然后利用决策树方法进行地物识别。选取“黑河综合遥感联合试验”中的3种典型区域(城市、农田和水体)进行分类,结果表明:该方法能够有效地分离建筑物、高大植被、低矮植被、裸土地以及水泥地等基本地物。

关键词: 全波形机载激光雷达航空影像决策树地物分类    
Abstract:

According to the complementarities of airborne laser scanning (ALS) data and aerial images,an accurate method of classification based on multi\|source remote sensing data is presented.Firstly,DEM,nDSM,the relative intensity of return laser,and vegetation index can be extracted from the ALS data and aerial images,respectively.And then decision tree is adopt to recognize various ground objects.Finally,three typical areas of WATER (Watershed Airborne Telemetry Experimental Research) including city,cropland and water bodies are used to validate this approach.The result shows that the method can divide experimental area into building,high vegetation,low vegetation,cement and bare soil efficiently and reliably.

Key words:  Full\    waveform Airborne Laser Scanning    Aerial images    Decision tree    Classification
收稿日期: 2010-06-22 出版日期: 2011-01-27
:  TN 958.98  
基金资助:

中国科学院西部行动计划项目(KZCX2-XB2-09);国家自然科学基金重点项目(40730525);国家重点基础研究发展规划项目(2007CB714400)。

通讯作者: 柳钦火(1968-),男,研究员,博士生导师,主要从事定量遥感研究。Email:qhliu@irsa.ac.cn。     E-mail: mengweizhou@hotmail.com
作者简介: 周梦维(1982-),男,博士研究生,主要从事定量遥感研究。Email:mengweizhou@hotmail.com。
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引用本文:

周梦维, 柳钦火, 刘强, 肖青. 全波形激光雷达和航空影像联合的地物分类[J]. 遥感技术与应用, 2010, 25(6): 821-827.

ZHOU Meng-Wei, LIU Qin-Huo, LIU Qiang, XIAO Qing. A Method for Classification by Fusing Full-waveform Airborne Laser Scanning Data and Aerial Images. Remote Sensing Technology and Application, 2010, 25(6): 821-827.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.6.821        http://www.rsta.ac.cn/CN/Y2010/V25/I6/821

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