Automatic segmentation method for point cloud of facade of large scene city building

A technology for automatic segmentation and building, applied in image analysis, image data processing, using re-radiation, etc., can solve the requirements, efficiency and accuracy of building facade extraction are difficult to meet and other problems

Active Publication Date: 2016-08-10
HENAN POLYTECHNIC UNIV
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Problems solved by technology

These methods and theories provide a variety of solutions for vehicle-mounted LiDAR facade point cloud segmentation to a certain extent, but it is difficult to meet the requirements of building facade extraction in terms of efficiency and accuracy when dealing with large-scale urban point clouds.

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  • Automatic segmentation method for point cloud of facade of large scene city building
  • Automatic segmentation method for point cloud of facade of large scene city building
  • Automatic segmentation method for point cloud of facade of large scene city building

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Embodiment Construction

[0056] In order to clearly illustrate the solution in the present invention, preferred embodiments are given below and described in detail in conjunction with the accompanying drawings.

[0057] The method for automatically segmenting point clouds of urban building facades in large scenes of the present invention, its processing flow chart is as follows figure 1 As shown, in this embodiment, a certain urban residential area is used as the experimental area, and the area of ​​the experimental area is about 0.32km 2 , with a total of 105 buildings. The airborne LiDAR point cloud in the experimental area is acquired by the Leica ALS60 system. The data on the top of the building is uniform and complete, and the average point cloud density is 4 points / ㎡. figure 2 As shown, the ground mobile LiDAR data is acquired by a portable mobile measurement system mounted on a manpower tricycle, and the point interval is 5cm. The collected original vehicle-mounted LiDAR point cloud elevation...

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Abstract

The invention discloses an automatic segmentation method for a point cloud of a facade of a large scene city building. The method comprises steps of (1) performing fusion registration on airborne LiDAR point cloud data and on-vehicle LiDAR point cloud data, (2) extracting airborn LiDAR building point cloud data from the airborne LiDAR point cloud data which goes through registration in the step (1), (3) performing segmentation on the point cloud data of a single building based on the airborne LiDAR point cloud data extracted from the step (2), (4) performing contour tracking on the single building segmented by the step (3), (5) performing simplification and normalization processing on a contour line extracted from the step (4), (6) performing rough segmentation on the point cloud of the facade of the building based on the contour line which goes through the simplification and normalization processing in the step (5), and (7) performing fine segmentation on the building facade point cloud which is roughly segmented in the step (6). The automatic segmentation method of the invention can fast and accurately separate the building facade point cloud from the on-vehicle LiDAR point cloud.

Description

technical field [0001] The invention relates to the field of building facade segmentation, in particular to a method for automatic segmentation of building facade point clouds in large-scale cities. Background technique [0002] With the continuous development and deepening of digital cities, urban spatial geographic information acquisition technology has also developed rapidly. Mobile measurement systems represented by airborne LiDAR (Light Detection and Ranging) and vehicle-mounted LiDAR can quickly and large-scale obtain 3D point cloud information in urban scenes, providing an important data basis for 3D urban construction. [0003] Airborne LiDAR can quickly obtain the information of the city ground and the top of the building, but it lacks information on the facade of the building. When modeling, it is mostly constructed based on the point cloud of the top of the building, and the expression and description of the geometric features of the facade are relatively simple. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00G06K9/34G01S17/88
CPCG01S17/88G06T2207/10028G06T2207/10044G06T2207/30181G06V20/176G06V10/267
Inventor 李永强刘会云牛路标蔡来良李立雪吴珍珍黄腾达
Owner HENAN POLYTECHNIC UNIV
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