Young Researcher Paper Award 2023
🥇Winners

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)

Sensors and Materials, Volume 37, Number 2(3) (2025)
Copyright(C) MYU K.K.
pp. 783-794
S&M3956 Research Paper of Special Issue
https://doi.org/10.18494/SAM5509
Published: February 28, 2025

Change Detection of Historical Villages in the Korean Demilitarized Zone Using a CNN Model: Focusing on Villages within the Korean Demilitarized Zone during the 1910s and 1950s [PDF]

Haeyong Jeong

(Received December 19, 2024; Accepted February 21, 2025)

Keywords: demilitarized zone, deep learning, convolutional neural network, temporal-spatial analysis, historical topographic maps

In this study, we investigated the spatial and temporal changes in village distributions within the Korean Peninsula’s Demilitarized Zone (DMZ) using deep learning methods. Historical maps from the 1910s and 1950s were analyzed to analyze house distributions and identify changes caused by historical events. A custom convolutional neural network model was developed for automated feature extraction, achieving high accuracy compared with traditional methods. The findings provide foundational data for understanding the historical continuity of settlements within the DMZ and aim to support future research on its restoration and development.

Corresponding author: Haeyong Jeong


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

Cite this article
Haeyong Jeong, Change Detection of Historical Villages in the Korean Demilitarized Zone Using a CNN Model: Focusing on Villages within the Korean Demilitarized Zone during the 1910s and 1950s, Sens. Mater., Vol. 37, No. 2, 2025, p. 783-794.

Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Novel Sensors, Materials, and Related Technologies on Artificial Intelligence of Things Applications
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 Advanced Sensing Technologies for Green Energy
Guest editor, Yong Zhu (Griffith University)
Call for paper


Special Issue on Room-temperature-operation Solid-state Radiation Detectors
Guest editor, Toru Aoki (Shizuoka University)
Call for paper


Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper


Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper


Special Issue on Signal Collection, Processing, and System Integration in Automation Applications
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)
Call for paper


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