Progressive triangulated irregular network point cloud filtering method based on voxel

An irregular, voxel-based technology, applied in image data processing, instruments, calculations, etc., can solve the problem of low filtering effect and achieve high-precision results

Inactive Publication Date: 2017-07-14
BEIJING FORESTRY UNIVERSITY
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Problems solved by technology

[0007] Aiming at the low filtering effect of existing filtering methods under complex terrain, the present invention proposes a voxel-based progressive triangulation

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  • Progressive triangulated irregular network point cloud filtering method based on voxel
  • Progressive triangulated irregular network point cloud filtering method based on voxel
  • Progressive triangulated irregular network point cloud filtering method based on voxel

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Embodiment Construction

[0030] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted herein to avoid unnecessarily limiting the...

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Abstract

The invention relates to a light detection and ranging (LiDAR) point cloud filtering method, in particular to a progressive triangulated irregular network point cloud filtering method based on voxel, which is applicable to airborne and ground-based radar point cloud data processing and belongs to the technical field of LiDAR point cloud data processing. The method comprises the following steps: loading LiDAR point cloud data; preprocessing the LiDAR point cloud data, and organizing and managing the point cloud data in a segmented way; determining a mathematical expression of LiDAR point cloud voxelization, and voxelizing point cloud; determining LiDAR point cloud multi-echo information, and retaining single echo and the last echo point in multiple echo; determining a mathematical expression of a LiDAR point cloud progressive triangulated irregular network, and filtering point cloud; and determining LiDAR point cloud multi-echo information, and retaining single echo and the last echo point in multiple echo. The method of the invention is applicable to complex terrain surfaces, is sensitive to detection of dense vegetation areas, steep slopes and irregular fracture zones, and can be used to generate a high-precision digital elevation model (DEM).

Description

technical field [0001] The present invention relates to a laser radar (LiDAR) point cloud filtering method, in particular to a voxel-based progressive irregular triangular network point cloud filter, which is suitable for airborne and ground-based radar point cloud data processing, and belongs to the laser radar point cloud data processing technology field. Background technique [0002] LiDAR (Light Detection And Ranging, LiDAR) is an active remote sensing technology that uses laser light emitted by the sensor to measure the distance between the sensor and the target. LiDAR data is an irregularly distributed point set in three-dimensional space, and the distribution form in three-dimensional space presents a discrete "point cloud". In order to generate a high-precision digital elevation model and subsequent object extraction and 3D reconstruction, the point cloud data must be filtered. The purpose of filtering is to separate ground points and non-ground points, and the esse...

Claims

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Application Information

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IPC IPC(8): G06T5/10
Inventor 张晓丽刘会玲瞿帅王龙阳陈永辉朱程浩
Owner BEIJING FORESTRY UNIVERSITY
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