인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The development of the digital mapping techniques, computing devices and internet services has fostered a growing interest in 3D digital mapping of the terrain. Especially, a 3D digital image map can be helpful in that it offers the reality and solidity of the terrain.
In this paper, a step-by-step algorithm was presented to create a 3D digital image map using ALS data, aerial photos and 2D digital maps. First, discrepancies in ALS data strips were detected and adjusted. Second, to represent ALS data, aerial photos and 2D digital maps in a common reference frame, they were co-registered using linear features. Then, with co-registered dataset, the ortho-photo was generated. Finally, the 3D digital image map was created by overlapping the ortho-photo, 2D digital maps and DEM generated from ALS data.
The results clearly demonstrate that the proposed algorithm is effective in 3D digital image mapping of the terrain. Future research will focus on the automation of the proposed algorithm, including tasks such as extracting linear features from dataset and matching these features. In addition, it is important to represent 3D objects such as buildings, roads and etc, on the 3D digital image map.
In this paper, a step-by-step algorithm was presented to create a 3D digital image map using ALS data, aerial photos and 2D digital maps. First, discrepancies in ALS data strips were detected and adjusted. Second, to represent ALS data, aerial photos and 2D digital maps in a common reference frame, they were co-registered using linear features. Then, with co-registered dataset, the ortho-photo was generated. Finally, the 3D digital image map was created by overlapping the ortho-photo, 2D digital maps and DEM generated from ALS data.
The results clearly demonstrate that the proposed algorithm is effective in 3D digital image mapping of the terrain. Future research will focus on the automation of the proposed algorithm, including tasks such as extracting linear features from dataset and matching these features. In addition, it is important to represent 3D objects such as buildings, roads and etc, on the 3D digital image map.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2010-322-002107997
