Estimation of Forest Diameter-at-Breast-Height: A Fusion of Machine Learning and 3D Image Processing Innovations

doi:10.18280/ts.400547

CIOMP OpenIR

	Estimation of Forest Diameter-at-Breast-Height: A Fusion of Machine Learning and 3D Image Processing Innovations
	Y. Wang, J. Sun and F. Wang
	2023
发表期刊	Traitement du Signal
ISSN	07650019
卷号	40 期号:5 页码:2291-2297
摘要	As technology persistently advances, breakthroughs in machine learning and image processing have been harnessed for the meticulous measurement and analysis of natural resources. In the pursuit of addressing the imperative task of feature extraction and measurement within forestry, an integration of convolutional neural networks (CNNs), traditional machine learning, and image processing techniques has been devised. High-resolution 3D image data were procured using the D435i depth camera, targeting the detailed representation of tree structures. Upon acquisition, refined strategies encompassing pass-through filtering and K-means clustering were utilised for noise mitigation and segmentation. For feature discernment, CNNs were synergised with other machine learning models, facilitating comprehensive and automated extraction of the tree's structural and morphological nuances. The Random Sample Consensus (RANSAC) algorithm was subsequently invoked for meticulous cylindrical shape fitting, culminating in precise estimations of tree diameter-at-breast-height. Rigorous experimental validation revealed not only eminent accuracy but also unparalleled robustness across a gamut of scenarios and environments. When juxtaposed with conventional forestry measurement techniques, this methodology unmistakably signals a promising trajectory for forthcoming forestry applications. © 2023 Lavoisier. All rights reserved.
DOI	10.18280/ts.400547
URL	查看原文
收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67991
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Y. Wang, J. Sun and F. Wang. Estimation of Forest Diameter-at-Breast-Height: A Fusion of Machine Learning and 3D Image Processing Innovations[J]. Traitement du Signal,2023,40(5):2291-2297.
APA	Y. Wang, J. Sun and F. Wang.(2023).Estimation of Forest Diameter-at-Breast-Height: A Fusion of Machine Learning and 3D Image Processing Innovations.Traitement du Signal,40(5),2291-2297.
MLA	Y. Wang, J. Sun and F. Wang."Estimation of Forest Diameter-at-Breast-Height: A Fusion of Machine Learning and 3D Image Processing Innovations".Traitement du Signal 40.5(2023):2291-2297.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Estimation of Forest（1466KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载