Current Issues

Korea Society for Naval Science and Technology - Vol. 7 , No. 1

[Paper List]


[ Article ]
Journal of the KNST - Vol. 7, No. 1, pp. 11-16
Abbreviation: KNST
ISSN: 2635-4926 (Print)
Print publication date 31 Mar 2024
Received 22 Dec 2023 Revised 13 Jan 2024 Accepted 19 Mar 2024
DOI: https://doi.org/10.31818/JKNST.2024.3.7.1.11
특징점 산출 알고리즘을 적용한 고해상도 해저지형 생성기법 개발
김현승¹^{, *} ; 현철² ; 이성균² ; 김창환² ; 고진용²

1LIG넥스원 전장분석개발팀 선임연구원

2LIG넥스원 전장분석개발팀 수석연구원
Development of High-resolution Seafloor Topograph Map Generation Techniques Applying Feature Point Detection Algorithm
Hyunseung Kim¹^{, *} ; Chul Hyun² ; Sungkyun Lee² ; Changhwan Kim² ; Jinyong Go²
1Senior researcher, Dept. of Battlefield Analysis and Development, LIG Nex1

2Principal researcher, Dept. of Battlefield Analysis and Development, LIG Nex1

Correspondence to : ^*Hyunseung Kim Dept. of Battlefield Analysis and Development, LIG Nex1 333 Pangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13488, Republic of Korea Tel: +82-31-5179-7272 Fax: +82-31-5179-7086 E-mail: hyunseung.kim2@lignex1.com
Ⓒ 2024 Korea Society for Naval Science & Technology

초록

본 논문에서는 실제 보유한 수심데이터에서 해저산의 중심을 산출하여 거리 1.5 m 간격의 고해상도 해저지형도를 모델링하는 기법을 제안한다. Harris 코너 검출, FAST 알고리즘을 이용하여 해저산 중심 위치를 예측하고, 주변 해저지형을 생성하였다. 거리 1.6 km 간격의 실제 해저지형 수심 데이터와 모델링한 고해상도 해저지형을 검증한 결과, 오차 수준이 2.5 m 이내임을 확인하였다. 제안한 알고리즘은 수중운동체의 자율주행을 위한 경로계획 수립에 활용될 것으로 기대된다.

Abstract

In this paper, we propose a technique to model high resolution seafloor topography with 1.5 m intervals by detecting the center of the seafloor mountain in irregular seafloor topography. Using Harris corner detection and FAST algorithms, the location of the center of seafloor mountain was predicted. The modeled high-resolution seafloor topography was verified within 2.5 m mean error between the actual warder dept data. The proposed algorithm is expected to be used to establish a path plan for autonomous navigation of underwater vehicle.


Keywords: Underwater Topology, Sea Mountain, Feature Point Detection Algorithm, Harris Corner Detection, Features from Accelerated Segment Test, Digital Twin, 키워드: 해저지형도, 해저산, 특징점 산출 알고리즘, 해리스 코너 검출, FAST 알고리즘, 디지털 트윈

References


1.	Y. J. Lee, Y. J. Lim, T. K. Yeu, S. J. Lee, J. D. Jung, D. G. Park and J. B. Han, “A Simulation of Real-time Seabed Mapping using Multi-Beam Echo Sounder Measurement Model,” Journal of Institute of Control, Robotics and Systems, Vol. 28, No. 5, pp. 436-443, 2022.
2.	J. B. Lee, H. J. Kim, H. S. Hur and G. J. Wie, “Integration of Airborne Bathymetric LiDAR and Multi-beam Echo-sounder Data for Construction of High Resolution Terrain data in Intertidal Zone,“ Journal of Korean Society for Geospatial Information Science, Vol. 27, No. 2, pp. 23-30, 2019.
3.	G. Y. Kim, D. J. Seo and D. Y. Moon, “An Analysis of Accuracy for Submarine Topographic Information by Interpolation Method,“ Journal of Ocean Engineering and Technology, Vol. 20, No. 3, pp. 67-76, 2006.
4.	I. G. Lee, J. S. Kim, S. H. Rho, K. C. Shin, J. J. Lee and S. C. Yu, “Real-time Data Enhancement of 3D Underwater Terrain Map Using Nonlinear Interpolation on Image Sonar,” Journal of Sensor Science and Technology, Vol. 32, No. 2, pp. 110-117, 2023.
5.	M. K. Bae, H. I. Shin, D. J. Lee, I. K. Kang, Y. W. Lee and K. S. Kim, “Three Dimensional Visualization of Seafloor Topography for the Application of Integrated Navigation System,” Journal of Korean Society of Fisheries and Ocean Technology, Vol. 42, No. 2, pp. 104-110, 2006.
6.	S. C. Yoo, J. Y. Mun, W. Park, G. H. Seo, S. J. Gwon and R. Heo, “Development of Bathymetric Data for Ocean Numerical Model Using Sea-Floor Topography Data: BADA Ver.1,” Journal of Korean Society of Coastal and Ocean Engineers, Vol. 31, No. 3, pp. 146-157, 2019.
7.	S. G. Park, M. J. Chae and S. I. Cho, “Analysis of Recent Trends in Image Matching Technology Based on Feature Extraction,” Journal of Broadcast Engineering, Vol. 28, No. 4, pp. 429-438, 2023.