S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語


 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.

MYU Research

(proofreading and recording)

(translation service)

The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 33, Number 11(1) (2021)
Copyright(C) MYU K.K.
pp. 3835-3845
S&M2727 Research Paper of Special Issue
Published: November 17, 2021

Computer Vision Techniques in Forest Inventory Assessment: Improving Accuracy of Tree Diameter Measurement Using Smartphone Camera and Photogrammetry [PDF]

Heesung Woo, Ikhyun Kim, and Byoungkoo Choi

(Received August 28, 2021; Accepted October 5, 2021)

Keywords: computer vision, photogrammetry, tree diameter, forest inventory, image processing

The forest industry is facing many challenges, including lack of labor and low operational efficiency. In South Korea, the small-scale forest industry has hindered the development of advanced-level forest industry due to high cost of machines and sensors. To overcome these challenges, the application of ICT technologies can be considered a means of rehabilitating the Korean forest industry. As one approach, we investigated the possibility of using smartphone-integrated computer vision in forest inventory assessment. Individual tree diameters were estimated using four different circular fitting algorithms: least-squares circle (C), minimum enclosing circle (MEC), convex hull (CH), and least-squares ellipse (E). We found that C and MEC were the most accurate algorithms for estimating the tree diameter in Pinus densiflora (PD) and Pinus koraiensis (PK) forest stands. The results of this research indicate the possibility of using smartphones to investigate the forest structure efficiently.

Corresponding author: Byoungkoo Choi

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Heesung Woo, Ikhyun Kim, and Byoungkoo Choi, Computer Vision Techniques in Forest Inventory Assessment: Improving Accuracy of Tree Diameter Measurement Using Smartphone Camera and Photogrammetry , Sens. Mater., Vol. 33, No. 11, 2021, p. 3835-3845.

Forthcoming Regular Issues

Forthcoming Special Issues

Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 2-2
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)

Special Issue on Sensors, Materials, and Computational Intelligence Algorithms in Robotics and AI Engineering
Guest editor, Pitikhate Sooraksa (King Mongkut’s Institute of Technology Ladkrabang)

Special Issue on Microfluidics and Related Nano/Microengineering for Medical and Chemical Applications
Guest editor, Yuichi Utsumi (University of Hyogo)
Call for paper

Special Issue on International Conference on BioSensors, BioElectronics, BioMedical Devices, BioMEMS/NEMS and Applications 2019 (Bio4Apps 2019) (2)
Guest editor, Hirofumi Nogami and Masaya Miyazaki (Kyushu University)
Conference website

Special Issue on High-sensitivity Sensors and Sensors for Difficult-to-measure Objects
Guest editor, Ki Ando (Chiba Institute of Technology)
Call for paper

Special Issue on Biological Odor Sensing System and Their Applications
Guest editor, Takeshi Sakurai (Tokyo University of Agriculture)

Copyright(C) MYU K.K. All Rights Reserved.