Low-cost tree structure automatic reconstruction method for lossless estimation of standing wood volume

A tree and wood technology, applied in the field of automatic reconstruction of low-cost tree structures, can solve the problems of difficult quantification, unknown, and high destructive costs of measurement results

Pending Publication Date: 2022-03-04
BEIJING FORESTRY UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Cutting down trees is the most direct and efficient way to gain volume, but is destructive and expensive
The volume equation established by destruct...

Method used

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  • Low-cost tree structure automatic reconstruction method for lossless estimation of standing wood volume
  • Low-cost tree structure automatic reconstruction method for lossless estimation of standing wood volume
  • Low-cost tree structure automatic reconstruction method for lossless estimation of standing wood volume

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] (1) Acquisition and processing of TP point cloud

[0042] ①Photo collection

[0043]Two Kodak PixPro SL25 lens cameras were mounted on a stick with a length of 60 cm. Before working, the camera needs to be calibrated and corrected by the GML Camera Calibration Toolbox 0.75 software, and the PixPro RemoteViewer 2.6.5 intelligent software is connected through the built-in WIFI to make the two cameras work synchronously, and the captured photos are transferred to the mobile phone or saved to the camera SD card. Place 5 target poles with a length of 3m in the sample plot and take photos. The length of the target poles must be determined in advance, and every two poles can be seen before each other, so as to facilitate the matching of forest inventory data with photogrammetry point clouds and the post-measurement generated point cloud. After extracting the relative coordinates of all trees and target poles from the ground photogrammetry point cloud, the total station was ...

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Abstract

The invention discloses a low-cost tree structure automatic reconstruction method for lossless estimation of standing wood volume, and particularly relates to a method for reconstructing a tree three-dimensional model based on terrestrial photogrammetry point cloud. The invention provides a standing wood volume estimation method based on terrestrial photogrammetry point cloud in order to reduce the cost of trunk volume estimation and under the condition that trees are not damaged by aiming at the defects and deficiencies of existing standing wood volume estimation, and the method is used for reconstructing a three-dimensional geometric structure of the trees and extracting the trunk volume. And a more economical method is provided for lossless estimation of the standing wood volume. The research objectives of the invention comprise: (1) opening AdQSM, and developing an automatic modeling method of AdQSM, which is beneficial for more people to use; and (2) a novel low-cost tree structure modeling technology is developed.

Description

1. Technical field [0001] The invention relates to a low-cost automatic tree structure reconstruction method for estimating the volume of standing trees based on ground photogrammetry point clouds. [0002] 2. Technical background [0003] Obtaining standing volume with high precision and low cost is an important issue in forestry research and application. Reconstructing tree models from 3D point clouds is of great significance for estimating tree volume, forest volume, biomass and carbon storage. Currently, the acquisition cost of forest lidar point cloud is still higher than that of forest photogrammetry point cloud. Cutting down trees is the most direct and efficient way to gain volume, but is destructive and expensive. The volume equation established by destructive sampling is an indirect measure to estimate volume, but sometimes the uncertainty of the measurement results is difficult to quantify or even unknown. The invention uses an improved QSM (Quantitative Structu...

Claims

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Application Information

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IPC IPC(8): G01B11/00G01C11/02G01S17/89G06K9/62G06T17/00
CPCG01C11/025G01B5/0021G01B5/0035G01S17/89G06T17/00G06F18/23213
Inventor 范光鹏苏晓慧许诺
Owner BEIJING FORESTRY UNIVERSITY
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