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An airborne lidar building detection method based on voxel segmentation

A detection method and building technology, applied in 3D modeling, image analysis, computer parts, etc., can solve the problems that are not conducive to the advantages of airborne LIDAR true 3D technology

Active Publication Date: 2021-08-24
LIAONING TECHNICAL UNIVERSITY
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Problems solved by technology

It can be seen that the data structure adopted by the classical building detection method is not conducive to giving full play to the technical advantages of airborne LIDAR true 3D

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  • An airborne lidar building detection method based on voxel segmentation
  • An airborne lidar building detection method based on voxel segmentation
  • An airborne lidar building detection method based on voxel segmentation

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Embodiment Construction

[0055] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0056] In this embodiment, the method is realized by using MATLAB 7.11.0 platform programming on a CPU dual-core 2.4GHz, memory 4GB, and Windows 7 ultimate system, and the validity of the method is further verified by evaluating the accuracy of the method.

[0057] An airborne LIDAR building detection method based on voxel segmentation, such as figure 1 shown, including the following steps:

[0058] Step 1: Read the original airborne LIDAR point cloud data to form the original airborne LIDAR point cloud dataset.

[0059] In this embodiment, two groups (Area2 and Area3, such as figure 2 Shown) The urban sample data specially used for the test of the target classification algorithm is used as the experimental data to test the validity and feasibility of the method. The experimental data was acquired by Leica ALS50 airborne laser scanner ...

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Abstract

The present invention proposes an airborne LIDAR building detection method based on voxel segmentation, the method is: read the original airborne LIDAR point cloud data to form the original airborne LIDAR point cloud data set; the original airborne LIDAR point cloud data Regularize it into a grayscale 3D voxel data set; based on the similarity criteria of connectivity and radiation characteristics, divide and mark the grayscale 3D voxel data into several 3D connected areas; based on the characteristics of building roofs and facades, sequentially detect The 3D connected area formed by the roof and facade of the building completes the airborne LIDAR building detection based on voxel segmentation; this method makes good use of the hidden neighborhood relationship between voxels in the 3D voxel data and the It is helpful for the development of airborne LIDAR point cloud data processing and application based on voxel modeling theory.

Description

technical field [0001] The invention belongs to the technical field of remote sensing data processing, and in particular relates to an airborne LIDAR building detection method based on voxel segmentation. Background technique [0002] Buildings are an indispensable part of 3D geographic information products, so automatic, high-precision and fast building target detection has become a research hotspot. Airborne LiDAR (Light Detection And Ranging, LIDAR) technology can provide dense, accurate, true three-dimensional (3Dimension, 3D) point cloud data with geographic reference, and contains the intensity information of the echo signal. Therefore, airborne LIDAR data is particularly suitable for 3D object detection. Classical building detection methods can be divided into three types according to the data structure they adopt: building detection methods based on discrete point cloud, raster grid and irregular triangular network. The point cloud structure completely retains the ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06T7/0002G06T7/187G06T17/20G06T2207/10028G06V2201/07
Inventor 王丽英王晓张正鹏赵元丁
Owner LIAONING TECHNICAL UNIVERSITY
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