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Method and system for extracting building laser footpoints based on normal vector Gaussian distribution

A technology of Gaussian distribution and extraction method, which is applied in the fields of instrument, calculation, character and pattern recognition, etc. It can solve the problems of difficulty in three-dimensional buildings, feasibility of point density and disconnection, etc. Set and improve the effect of automation

Active Publication Date: 2022-01-14
HUBEI UNIV
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Problems solved by technology

[0004] However, due to the complexity of building structures and the diversity of 3D scenes, how to automatically extract 3D buildings with high precision is still a difficult problem.
In addition, airborne lidar point cloud data has disadvantages such as point density feasibility and disconnection, so it is difficult to select features with significant discrimination in the process of building extraction

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  • Method and system for extracting building laser footpoints based on normal vector Gaussian distribution
  • Method and system for extracting building laser footpoints based on normal vector Gaussian distribution
  • Method and system for extracting building laser footpoints based on normal vector Gaussian distribution

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Embodiment

[0079] A method for automatically extracting building laser footpoints based on normal vector Gaussian distribution improves the extraction accuracy and robustness of building laser footpoints through robustly estimated salient features, and is characterized in that it includes the following steps:

[0080] Step (1) preparation and installation of the airborne lidar system, and generation of airborne lidar data;

[0081] Step (2) utilizes fast point feature histogram descriptor to carry out airborne LiDAR data clustering;

[0082] Step (3) based on the similarity region segmentation of DetMCD robust estimation;

[0083] Step (4) Use the point set normal vector Gaussian distribution of the segmentation segment to extract buildings.

[0084] Wherein, in step (1), the preparation and installation of the airborne lidar system, and the generation of airborne lidar data include the following steps:

[0085] Step (a) carrying a set of LiDAR system on the airborne carrier, including...

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Abstract

The invention relates to a building laser point cloud segmentation method and system, belonging to the technical field of building automation extraction, in particular to a building laser foot point extraction method and system based on normal vector Gaussian distribution. The present invention clusters and segments the airborne LiDAR point cloud data collected in the building area in a data-driven manner, and extracts the foot points of the building by counting the Gaussian distribution of the normal vector of each segment, which can not only accurately The laser footpoints of buildings can be accurately extracted, and the robustness and efficiency in complex building structures are also significantly improved.

Description

technical field [0001] The invention relates to a building laser point cloud segmentation method and system, belonging to the technical field of building automation extraction, in particular to a building laser foot point extraction method and system based on normal vector Gaussian distribution. Background technique [0002] Airborne LiDAR (Airborne Light Detection And Ranging, LiDAR) is an active aerial remote sensing earth observation system. It is an emerging technology first developed by Western countries and put into commercial application in the early 1990s. It integrates laser Rangefinder, Global Positioning System (GPS) and Inertial Measurement Unit (IMU) all in one. This technology has produced a major breakthrough in the real-time acquisition of three-dimensional spatial information, and provides a new technical means for obtaining high-spatial-resolution geospatial information. [0003] Automatic extraction of buildings from aerial imagery or lidar data is a prer...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/176G06V10/50G06F18/23G06F18/2135G06F18/22
Inventor 张良金贵张谦周佳雯
Owner HUBEI UNIV