A tree height extraction method for high-canopy closed forest plots by combining uav images and tls point clouds

An extraction method and technology for sample plots, which are applied in the field of tree height extraction in high canopy closed forest plots, and can solve the problems of high acquisition cost and poor real-time performance of ALS point cloud.

Active Publication Date: 2022-05-24
FUZHOU UNIV
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Problems solved by technology

However, the acquisition cost of ALS point cloud is high, and the real-time performance is poor

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  • A tree height extraction method for high-canopy closed forest plots by combining uav images and tls point clouds
  • A tree height extraction method for high-canopy closed forest plots by combining uav images and tls point clouds
  • A tree height extraction method for high-canopy closed forest plots by combining uav images and tls point clouds

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[0054] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0055] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0056] It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates that There are features, steps, operations, devices, components and / ...

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Abstract

The invention relates to a method for extracting tree heights of high-canopy forest plots combined with UAV images and TLS point clouds, and a method for extracting tree heights of forest plots combined with UAV images and ground lidar point clouds: simultaneously obtaining high canopy density The UAV (UAV: Unmanned aerial vehicle) image point cloud of the forest plot and the ground lidar (TLS: Terrestrial Laser Scanning) point cloud data of the plot. The two kinds of data matching and fusion are realized through the scale-invariant feature transform (SIFT) feature point matching algorithm. Based on the fused point cloud data, the improved local maximum algorithm was used to extract the height of individual trees in the plot. The invention can realize the measurement of the parameters of the forest plot from two directions of understory and canopy at the same time, and provides a new approach for more comprehensive and accurate estimation of the tree height of the subtropical high canopy density forest plot.

Description

technical field [0001] The invention relates to the technical field of forest tree height research, in particular to a tree height extraction method of a high canopy closed forest sample plot combining UAV images and TLS point clouds. Background technique [0002] Forest is the ecosystem with the widest distribution, the most complex structure and the richest material resources on land. It is very important to be able to understand the changes of forest information in a timely manner and to manage forest resources efficiently. Forest resources survey work. Tree height is an important parameter of forest structure and the basis for estimating other parameters such as forest stock. [0003] In common forest areas, TLS can provide detailed forest upright structure data and can accurately estimate tree height parameters. With the development of aerial remote sensing technology, low-cost unmanned aerial vehicle (Unmanned Aerial Vehicle: UAV), due to its flexibility and mobility...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/60G06T7/64G06V10/46G06V10/74G06V10/80G06K9/62
CPCG06T7/60G06T7/64G06T2207/10028G06T2207/10044G06T2207/20221G06T2207/30188G06V10/462G06F18/22G06F18/251
Inventor 周小成熊皓丽徐慧丹黄洪宇
Owner FUZHOU UNIV
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