Stumpage diameter at breast height measuring method based on machine vision and deep learning

Abstract

The invention discloses a stumpage diameter at breast height measuring method based on machine vision and deep learning. The method comprises the following steps: 1, camera calibration and image correction: a camera calibration and image correction module receives a plurality of calibration plate pictures shot by a camera, carries out the calibration of the camera, obtains internal and external parameters of the camera and distortion coefficients, and carries out distortion correction, by using the parameters and the distortion coefficients, on a to-be-measured picture; step 2, trunk image segmentation: the corrected picture enters a trunk image segmentation module, the trunk image segmentation module adopts a U-Net network for segmentation, the U-Net network is used for trunk extraction, and a segmented picture is obtained. A stumpage diameter at breast height can be accurately, rapidly, and conveniently measured, so that the efficiency of forestry resource investigation is improved, and rapid development of intelligent forestry is promoted.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a method for measuring the diameter at breast height of standing trees based on machine vision and deep learning. Background technique [0002] At present, the measurement methods of DBH can be divided into two categories according to the tools used: manual measurement methods using traditional tools such as calipers and diameter tapes; precision instrument measurement methods using tools such as total stations and theodolites. [0003] The manual measurement method using traditional tools is greatly affected by the environment, and the measurement range is limited. For tree trunks with a relatively large diameter at breast height, it may even be impossible to measure. At the same time, the measurement data is entered manually, which also greatly affects the measurement. speed. In addition to this traditional method, some high-precision instruments can also be used for me...

AI Technical Summary

Problems solved by technology

High measurement accuracy can be obtained by using these instruments, but they are either bulky and difficult to carry, which limits the environment and scope of their work, or are expensive and difficult to promote on a large scale

At the same time, the operation of these instruments is complicated, the use steps are cumbersome, the requirements for measuring personnel are high, and they lack universality

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