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High-canopy-closure forest sample plot tree height extraction method combining UAV image and TLS point cloud

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: 2019-07-19
FUZHOU UNIVERSITY
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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

Method used

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  • High-canopy-closure forest sample plot tree height extraction method combining UAV image and TLS point cloud
  • High-canopy-closure forest sample plot tree height extraction method combining UAV image and TLS point cloud
  • High-canopy-closure forest sample plot tree height extraction method combining UAV image and TLS point cloud

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

[0055] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, 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 here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a high-canopy-closure forest sample plot tree height extraction method combining UAV images and TLS point clouds. The forest sample plot tree height extraction method combining an unmanned aerial vehicle image and ground laser radar point cloud Comprises: obtaining image point cloud of a high canopy density forest sample plot unmanned aerial vehicle (UAV) and the point cloud data of a ground laser radar (TLS: Terrestrial Laser Scanning) of the sample plot; and realizing matching and fusion of two kinds of data through a scale-invariant feature transform (SIFT) featurepoint matching algorithm; and based on the fused point cloud data, extracting the single tree height of the sample plot by adopting an improved local maximum algorithm. According to the method, forest sample plot parameters can be measured from the two directions of the understory and the canopy at the same time, and a new way is provided for estimating the tree height of the subtropical high-canopy-density forest sample plot more comprehensively and more accurately.

Description

technical field [0001] The invention relates to the technical field of forest tree height research, in particular to a method for extracting tree height in a high-canopy closed forest plot combined with UAV images and TLS point clouds. Background technique [0002] The 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 and clear manner and to manage forest resources efficiently. Therefore, a large number of domestic and foreign Forest resource survey work. Tree height is an important parameter of forest structure and the basis for estimating other parameters such as forest volume. [0003] In common forest areas, TLS can provide detailed forest vertical structure data and can accurately estimate tree height and other parameters. With the development of aerial remote sensing technology, low-cost UAV (Unmanned A...

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Application Information

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IPC IPC(8): G06T7/60G06T7/64G06K9/46G06K9/62
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 UNIVERSITY
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