해리스 코너 검출, FAST, SIFT, SURF 알고리즘을 적용한 해저지형 특징점 추출 기법 연구
Ⓒ 2024 Korea Society for Naval Science & Technology
초록
본 논문은 실제 한반도 해저지형 데이터로부터 대표적인 해리스 코너 검출, FAST, SIFT, SURF 알고리즘을 적용하여 해저산의 중심 위치를 산출하였다. 특정 지형에 대한 해저산 중심 위치 산출 결과를 분석하고, SURF 알고리즘이 연산 정확도와 연산 속도 측면에서 최적의 알고리즘으로 제안됨을 확인하였다. 본 논문은 수중운동체의 회피 성능에 지대한 영향을 미치는 해저산 중심 위치를 산출함으로써, 경로계획 수립에 활용할 수 있을 것으로 기대된다.
Abstract
In this paper, we calculated the center position of the seafloor mountain from actual Korean peninsula seafloor topography by applying representative Harris corner detection, FAST, SIFT and SURF algorithm. The result of the center position of the seafloor mountain for a specific terrain was analyzed and SURF algorithm was proposed as the optimal algorithm in terms of calculation accuracy and speed. The proposed algorithm is expected to be used in path plan by calculating the location of the center of the seafloor mountain, which has a significant impact on the avoidance performance of underwater vehicles.
Keywords:
Underwater Topology, Feature Extraction Algorithm, Harris Corner Detection, FAST, SIFT, SURF키워드:
해저지형도, 특징점 산출 알고리즘, 해리스 코너 검출References
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