机载激光点云与影像的融合与分类技术研究
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- 英文论文题名：Research on Fusion and Classification of Laser Point Cloud and Aerial Image
- 论文作者：童艳丽 ; 施昆 ; 李志杰
- 英文论文作者：TONG Yan-li ; Shi Kun ; LI Zhi-jie ; Kunming University of Science and Technology ; Beijing Geo-Vision Tech. ; Ltd.
- 年：2016
- 作者机构：云南地矿国际矿业股份有限公司;昆明理工大学;北京四维远见信息技术有限公司;
- 论文关键词：激光点云 ; DEM ; 正射影像 ; 融合 ; 分类
- 英文论文关键词：laser pointpoint ; DEM ; orthoimage ; fusion ; classification
- 会议召开时间：2016-11-01
- 会议录名称：云南省测绘地理信息学会2016年学术年会论文集
- 语种：中文
- 分类号：P204
- 学会代码：YNKX
- 会议名称：云南省测绘地理信息学会2016年学术年会
- 会议地点：中国云南昆明
- 主办单位：云南省测绘地理信息局、云南省测绘地理信息学会
- 学会名称：云南省科学技术协会
- 页数：7
- 文件大小：2439k
- 原文格式：D
- 会议级别：地方
摘要
针对目前利用根据点云数据过滤所得地面点内插所得数字高程模型(DEM)制作正射影像时,因DEM不包含房屋,桥梁等,致使正射影像在房屋桥梁处容易产生扭曲的现象,本文在DEM中加入过滤所得的房屋等,使得正射影像的扭曲现象明显减少,同时使得点云与影像的匹配更加精准,融合效果更好。融合后,本文根据融合后点云所具三维坐标信息,强度信息,回波次数信息与色彩信息等,利用几何关系运算及监督分类的方式进行分类。最终实验结果表明,点云与影响的配准精度较高,分类效果较好,分类方法具有一定的实用价值。
Currently,when processing orthophoto map in reference to the digital elevation model(DEM),some distortions are easily to appear during this process as ignoring houses,bridges in DEM. That is formed through the ground point purified from point cloud data. In an attempt to solve the above problem,a feasible method could be adopted by adding building and bridge points in the DEM,reducing the frequency of orthophoto map distortion obviously. Besides,the matching rate between point clouds and visions could be more accurate with a atisfying integration. This paper will classify laser point cloud through geometric-featured calculation and supervision classification methodologies. The research is based on the theories of Three-dimensional coordinate information, reflection echo information, and color information. Through the above researches and analysis, this dissertation finally arrives at the conclusion that the matching effect is closely related with the influence given by point clouds. The more acute matching,the sounder classification effect will be achieved. The classification method is of the practical significance and social contribution.
Currently,when processing orthophoto map in reference to the digital elevation model(DEM),some distortions are easily to appear during this process as ignoring houses,bridges in DEM. That is formed through the ground point purified from point cloud data. In an attempt to solve the above problem,a feasible method could be adopted by adding building and bridge points in the DEM,reducing the frequency of orthophoto map distortion obviously. Besides,the matching rate between point clouds and visions could be more accurate with a atisfying integration. This paper will classify laser point cloud through geometric-featured calculation and supervision classification methodologies. The research is based on the theories of Three-dimensional coordinate information, reflection echo information, and color information. Through the above researches and analysis, this dissertation finally arrives at the conclusion that the matching effect is closely related with the influence given by point clouds. The more acute matching,the sounder classification effect will be achieved. The classification method is of the practical significance and social contribution.
引文
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[6]谢瑞,程效军,管海燕.机载激光扫描与航空影像的融合分类与精度分析[J].同济大学学报(自然科学版),2013,41(4):607-613
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[9]尚大帅,马东洋,高振峰,等.机载Li DAR点云数据与影像数据融合[J].测绘工程,2012,21(1):18-20,24
[10]黄先锋,李卉,王潇,等.机载Li DAR数据滤波方法评述[J].测绘学报,2009,38(05):466-469
[11]马东洋,尚大帅,保永强,等.一种基于高程差粗糙度的建筑物激光脚点提取方法[J].测绘科学技术学报,2013,30(2):158-161
[2]刘春,陈华云.激光三维遥感的数据处理与特征提取[M].北京:科学出版社,2010:12
[3]侯艳芳,叶泽田,杨勇.基于POS数据的车载面阵CCD影像与激光点云融合处理研究[J].遥感应用,2011(4):76-79
[4]杨耘,隋立春.面向对象的Li DAR数据多特征融合分类[J].测绘通报,2010(8):11-14
[5]管海燕,邓非,张剑清,等.面向对象的航空影像与Li DAR数据融合分类[J].武汉大学学报(信息科学版),2009,34(7):830-833
[6]谢瑞,程效军,管海燕.机载激光扫描与航空影像的融合分类与精度分析[J].同济大学学报(自然科学版),2013,41(4):607-613
[7]F Rottensteiner,C Briese.Automatic generation of building models from LIDAR data and the integration of aerial images.Workshop on In:Hg Maas,2003,34(17):174-180
[8]T.Thuy Vu,Fumio Yamazaki,Masashi Matsuoka.Multi-scale solution for building extraction from Li DAR and image date[J].International Journal of Applied Earth Observation&Geoinformation.2009,11(4):281-289
[9]尚大帅,马东洋,高振峰,等.机载Li DAR点云数据与影像数据融合[J].测绘工程,2012,21(1):18-20,24
[10]黄先锋,李卉,王潇,等.机载Li DAR数据滤波方法评述[J].测绘学报,2009,38(05):466-469
[11]马东洋,尚大帅,保永强,等.一种基于高程差粗糙度的建筑物激光脚点提取方法[J].测绘科学技术学报,2013,30(2):158-161