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

Template
English

Publisher
 MYU K.K.
 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)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Copyright(C) MYU K.K.
Published in advance: July 28, 2021

3D Change Detection of Urban Construction Waste Accumulations Using Unmanned Aerial Vehicle Photogrammetry [PDF]

Qiang Chen, Yuan-Yuan Li, Zi-Yi Jia, and Qian-Hao Cheng

(Received May 29, 2021; Accepted July 12, 2021)

Keywords: construction waste, UAV photogrammetry, 3D change detection, remote sensing

Due to the large annual production of construction waste in China, the rapid changes in construction waste materials, and the need to quickly obtain high-precision 3D change information for construction waste, we have used a rapid monitoring method for construction waste accumulations, which uses unmanned aerial vehicle (UAV) photogrammetry to obtain a digital surface model (DSM) and a digital orthophoto map (DOM) of two study areas located in Pingdingshan City, China. Then, we built 3D models of waste accumulations in 2019 and 2020 for the two study areas. We also proposed a 3D change detection model combined with self-adaptive roughness quantification and supervised classification based on the elevation threshold to extract construction waste accumulations, and the extraction accuracies in 2019 and 2020 were 84.9% and 85.6%, respectively. Also, we used the adaptive threshold method and the discrete integral method to calculate the changes in areas and volumes of the accumulations. The calculation accuracy of the volume of construction waste reached 88%. This study provides a method for quickly obtaining 3D change information for construction waste accumulations.

Corresponding author: Yuan-Yuan Li




Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 1-2
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)


Special Issue on Smart Sensing Technologies and Their Application in Forest Management and Engineering
Guest editor, Byoungkoo Choi (Kangwon National University)
Call for paper


Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 2-1
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
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)
Call for paper


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