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Tree information extraction method and device based on high-precision point cloud and image

An information extraction, high-precision technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of limiting the accuracy and analysis efficiency of results, not fully applicable to power grid channels, and less consideration of two-dimensional orthophoto maps

Pending Publication Date: 2021-10-29
GUANGDONG KENUO SURVEYING ENG CO LTD +1
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Problems solved by technology

However, there are some problems in the existing tree information extraction methods: they are not fully suitable for grid channels
The current tree information extraction technology is mainly based on the 3D lidar point cloud, less consideration is given to the information of the 2D orthophoto image, which limits the accuracy of the results and the efficiency of the analysis

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  • Tree information extraction method and device based on high-precision point cloud and image
  • Tree information extraction method and device based on high-precision point cloud and image
  • Tree information extraction method and device based on high-precision point cloud and image

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Embodiment Construction

[0039] see figure 1 with figure 2 , which is the overall and detailed flow chart of the tree information extraction method based on high-precision point cloud and image according to the embodiment of the present invention.

[0040] A method for extracting tree information based on high-precision point clouds and images in this embodiment includes:

[0041] First, obtain the 2D digital orthophoto map and 3D lidar point cloud data of the power grid channel area to be processed;

[0042] Carry out vectorization to described two-dimensional digital orthophoto map DOM, obtain the vector data of image map, judge whether each pixel is located in vegetation area, and remove the pixel data of non-vegetated area until all vector data are located in vegetation area;

[0043] Carry out point cloud classification to described three-dimensional laser radar point cloud data, remove non-vegetation point cloud data, and generate digital surface model DSM by vegetation point cloud data, gene...

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Abstract

The invention discloses a tree information extraction method and device based on high-precision point cloud and images. The advantages of various algorithms in tree information extraction are integrated in combination with various tree segmentation methods and segmentation result detection optimization and in combination with the processing process of a two-dimensional digital orthophoto map and three-dimensional laser radar point cloud data. Influence factors of two-dimensional image visible light wave band information and sun shadow on tree information extraction are considered, and the invention is suitable for a vegetation dense area. And the timeliness and accuracy of tree information extraction and image processing are comprehensively improved. And the invention has the advantages of high accuracy, fast speed and good real-time performance, and can quickly and accurately complete power grid channel tree information extraction.

Description

technical field [0001] The invention relates to the technical field of image information extraction and three-dimensional point cloud data processing, in particular to a method and device for extracting tree information based on high-precision point clouds and images. Background technique [0002] The distribution and growth of trees are important factors that affect the safe operation of power transmission and distribution lines. Information extraction of trees is the basis for tree management and maintenance in power grid channels. With the development of lidar measurement technology and remote sensing technology, vegetation information in grid channels can be accurately restored. These precise vegetation information can be used to obtain the number, coordinates and growth of trees, including attributes such as tree height and diameter at breast height. For tree information extraction, the existing technology is basically a segmentation technology based on a single data s...

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Application Information

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IPC IPC(8): G06T7/11G06T7/62
CPCG06T7/11G06T7/62G06T2207/10028G06T2207/20156G06T2207/30188
Inventor 梁韵诗陈隽敏薛菲李行义谢烨妍赖惠婷吴蔚邓超怡黄俊达唐思瑶蔡彬雷新许柔娜罗娜谢一鸣欧阳杨赵智尧
Owner GUANGDONG KENUO SURVEYING ENG CO LTD