面向全球DEM生产的点云智能滤波与DEM泊松编辑方法

Abstract

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。

Alternate 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.