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2025 Vol.67, Issue 6 Preview Page
Development of a Stream DTM Generation Method Based on SfM Using UAV-Based Polarized Imagery

UAV 편광 이미지를 이용한 SfM 기반 하천 DTM 생성 방법 개발

Jaejun Goua
,
Kanghyun Namb
,
Jinseok Parkc
,
Hyeokjin Leed
,
Seongju Jange
,
Inhong Songf†
고 재준a
,
남 강현b
,
박 진석c
,
이 혁진d
,
장 성주e
,
송 인홍f†
aMS Student, Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University, Seoul, Republic of Korea
bUndergradurate Student, Department of Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
cPh.D., College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
dPh.D. Student, Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University, Seoul, Republic of Korea
ePh.D. Student, Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University, Seoul, Republic of Korea
fAssociate Professor, Department of Rural Systems Engineering, Research Institute of Agriculture and Life Sciences, Global Smart Farm Convergence Major, Seoul National University, Seoul, Republic of Korea
†Corresponding author Tel.: +82-2-880-4581, Fax: +82-2-873-2087 E-mail: inhongs@snu.ac.kr
2025. pp. 77-84
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Abstract

Creating an accurate 3D DTM (Digital Terrain Model) of a stream area is crucial for better understanding the stream hydrodynamic phenomena. The objective of this study was to develop an SfM-based method for generating a DTM of small streams using polarized imagery acquired by UAVs (Unmanned Aerial Vehicles). The target area was a 300 m reach of the Yangjae stream near the Seonbawi Station in Gwacheon, where strong water surface reflection posed challenges to accurate terrain modeling. Polarized images were captured at multiple angles and processed through SfM (Structure from Motion) to create point clouds. Elevation benchmarks measured by EDM (Electronic Distance Measurement) were used to assess the vertical accuracy of the resulting DTMs. Polarized filter and water refraction calibration improved the water depth accuracy of DTM, achieving MAE of 0.242 m and RMSE of 0.276 m, while challenges still remain in addressing randomly occurring underwater conditions and streamside vegetations. The outcome of the study can be used to improve the accuracy of shallow water DTM construction.

Keywords
UAV (Unmanned Aerial Vehicle)
DTM (Digital Terrain Model)
polarized imagery
SfM (Structure from Motion)
water reflection
small stream
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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 67
  • No :6
  • Pages :77-84
  • Received Date : 2025-09-01
  • Revised Date : 2025-09-19
  • Accepted Date : 2025-09-29
  • DOI :https://doi.org/10.5389/KSAE.2025.67.6.077
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