面向全球DEM生产的点云智能滤波与DEM泊松编辑方法

doi:10.11947/j.AGCS.2019.20180010

测绘学报 ›› 2019, Vol. 48 ›› Issue (3): 374-383.doi: 10.11947/j.AGCS.2019.20180010

面向全球DEM生产的点云智能滤波与DEM泊松编辑方法

胡翰^1,2, 丁雨淋^3,4, 朱庆^3,5, 蒋捷⁶, 文学虎⁷, 张力⁸, 唐伟⁷, 阳俊⁹, 钟若飞¹⁰

1. 香港理工大学土地测量及地理资讯学系, 香港;
2. 国土资源部城市土地资源监测与仿真重点实验室, 广东深圳 518000;
3. 西南交通大学地球科学与环境工程学院, 四川成都 611756;
4. 香港中文大学太空与地球信息科学研究所, 香港;
5. 首都师范大学成像技术高精尖创新中心, 北京 100037;
6. 国家基础地理信息中心, 北京 100083;
7. 四川省第二测绘地理信息工程院, 四川成都 610100;
8. 中国测绘科学研究院, 北京 100083;
9. 黑龙江地理信息工程院, 黑龙江哈尔滨 150086;
10. 首都师范大学资源环境与旅游学院, 北京 100037

收稿日期:2018-01-08 修回日期:2018-11-15 出版日期:2019-03-20 发布日期:2019-04-10
通讯作者: 丁雨淋 E-mail:rainforests@126.com
作者简介:胡翰(1988-),男,博士,研究方向为数字摄影测量与遥感。E-mail:huhan19880715@163.com
基金资助:
国土资源部城市土地资源监测与仿真重点实验室开放基金（KF-2016-02-021；KF-2016-02-022）；国家自然科学基金（41631174；61602392；41501421；41471320）；空间信息智能感知与服务深圳市重点实验室（深圳大学）开放基金

Precision global DEM generation based on adaptive surface filter and Poisson terrain editing

HU Han^1,2, DING Yulin^3,4, ZHU Qing^3,5, JIANG Jie⁶, WEN Xuehu⁷, ZHANG Li⁸, TANG Wei⁷, YANG Jun⁹, ZHONG Ruofei¹⁰

1. Department of Land Surveying and Geo-Informatics, the Hong Kong Polytechnic University, Hongkong, China;
2. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518000, China;
3. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
4. Institute of Space and Earth Information Science, the Chinese University of Hongkong, Hongkong, China;
5. Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100037, China;
6. National Geomatics Center of China, Beijing 100830, China;
7. The Third Geoinformation Mapping Institute of National Administration of Surveying, Mapping and Geoinformation, Chengdu 610100, China;
8. Chinese Academy of Survey and Mapping, Beijing 100830;
9. Heilongjiang Institute of Geomatics Engineering, Haerbin 150086, China;
10. College of Environment and Tourism, Capital Normal University, Beijing 100037, China

Received:2018-01-08 Revised:2018-11-15 Online:2019-03-20 Published:2019-04-10
Supported by:
The Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Land and Resources (Nos. KF-2016-02-021;KF-2016-02-022);The National Natural Science Foundation of China (Nos. 41631174;61602392;41501421;41471320);The Foundation of Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation

摘要/Abstract

摘要： 国家全球战略急需全球地理信息资源的支撑，如何利用国产高分辨率卫星影像高效生产全球DEM已经成为我国全球地理信息资源建设工程的重大任务。由于全球地形地表结构的多样性和复杂性，现有依靠单一滤波模型或有限滤波规则的点云滤波方法的可靠性和效率难以保证。为此，本文提出一种可靠、高效、稳健的影像密集匹配点云数据智能滤波与DEM泊松编辑方法，通过顾及弯曲能量的点云自适应滤波及多边界约束的泊松地形编辑方法的设计与实现，构建了点云自适应滤波与定向智能精准编辑软件LINK。通过四川、黑龙江、陕西、海南、重庆测绘地理信息局等多家生产单位，采用覆盖国内外重点区域不同地形地表结构特征的资源三号卫星影像的DSM数据，进行DEM试生产验证。结果证明了本文方法的可靠性和有效性，在DEM生产困难的建筑区、森林和水域等区域，精度和效率优势明显，为全球大规模DEM生产提供了有力支撑。

关键词: 全球DEM生产, 全球数字高程模型, 自适应滤波, 泊松编辑

Abstract: Precision and high-resolution global DEM composes the fundamental basis of the spatial data infrastructure for a variety of applications. To obtain high precision global DEM using domestic high-resolution satellite images, is one of the most important requirements for the construction of global geographic information resources of China. However, due to the complexity of the structure of terrain surface, a single set of parameters is not capable to handle the intricacies of the ground characteristics, which leads to decreasing of accuracies. Aiming at solving this problem, this paper proposes an adaptive surface filter for automatic terrain filtering and Poisson terrain editing for post processing and quality control. The two contributions have been extended to the software framework, LINK, for the global DEM production. Experiments and production works by several departments, including the Sichuan, Heilongjiang, Shanxi, Hainan, Chongqing Bureau of Surveying, Mapping and Geoinformation, have revealed that the DEM quality satisfies with the standard set, including various difficult scenarios, such as building high-rise areas, forest and water body. The quality and efficiency of the proposed method exceed other competitive solutions, which indicates a strong potential for the on-going global DEM production of China.

Key words: global DEM generation, global DEM, adaptive surface filter, Poisson terrain editing

中图分类号:

P282

胡翰, 丁雨淋, 朱庆, 蒋捷, 文学虎, 张力, 唐伟, 阳俊, 钟若飞. 面向全球DEM生产的点云智能滤波与DEM泊松编辑方法[J]. 测绘学报, 2019, 48(3): 374-383.

HU Han, DING Yulin, ZHU Qing, JIANG Jie, WEN Xuehu, ZHANG Li, TANG Wei, YANG Jun, ZHONG Ruofei. Precision global DEM generation based on adaptive surface filter and Poisson terrain editing[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(3): 374-383.

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面向全球DEM生产的点云智能滤波与DEM泊松编辑方法

Precision global DEM generation based on adaptive surface filter and Poisson terrain editing

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