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    3차원 수치영상 지형지도의 제작에 관한 연구: 항공레이저측량자료, 항공사진, 대축척 수치지도를 활용하여 = 3D Digital Image Mapping of the Terrain UsingAirborne Laser Scanning Data, Aerial Photos and 2D Digital Maps

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    https://www.riss.kr/link?id=A101616429

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    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.
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    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 solid...

    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.

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    참고문헌 (Reference)

    1 "수치정사투영영상 제작을 위한 폐색영역의 탐지와 복원" 2000

    2 "고현장감 3차원 영상 디스플레이 기술개발" 183-208, 2001

    3 "True Orthophoto Generation of Built-up Areas Using Multi-View Images" 68 (68): 581-588, 2002.6

    4 "True Orthoimage Production for Forested Areas from Large-Scale Aerial Photographs" 69 (69): 259-266, 2003.3

    5 "True Orthoimage Production for Forested Areas from Large-Scale Aerial Photographs" 36 (36): 259-266, 2003

    6 "The generation of true orthophotos using 3D building model in conjunction with a conventional DTM" Stuttgart. German 32 (32): 1998

    7 "Segmentation and extraction of linear features for adjustment of discrepancies between LIDAR data strips" IEEE International 2005

    8 "New Approach for Matching Surfaces from Laser Scanners and Optical Sensors" 32 (32): 55-61, 1999

    9 "LIDAR 데이터를 이용한 DEM 자동 생성 기법" 13 (13): 27-32, 2005

    10 "Co-registration of photogrammetric and lidar data" 56 (56): 1-13, 2004.7

    1 "수치정사투영영상 제작을 위한 폐색영역의 탐지와 복원" 2000

    2 "고현장감 3차원 영상 디스플레이 기술개발" 183-208, 2001

    3 "True Orthophoto Generation of Built-up Areas Using Multi-View Images" 68 (68): 581-588, 2002.6

    4 "True Orthoimage Production for Forested Areas from Large-Scale Aerial Photographs" 69 (69): 259-266, 2003.3

    5 "True Orthoimage Production for Forested Areas from Large-Scale Aerial Photographs" 36 (36): 259-266, 2003

    6 "The generation of true orthophotos using 3D building model in conjunction with a conventional DTM" Stuttgart. German 32 (32): 1998

    7 "Segmentation and extraction of linear features for adjustment of discrepancies between LIDAR data strips" IEEE International 2005

    8 "New Approach for Matching Surfaces from Laser Scanners and Optical Sensors" 32 (32): 55-61, 1999

    9 "LIDAR 데이터를 이용한 DEM 자동 생성 기법" 13 (13): 27-32, 2005

    10 "Co-registration of photogrammetric and lidar data" 56 (56): 1-13, 2004.7

    11 "A survey of image registration techniques" 325-376, 1992

    12 "3차원영상 획득기술의 동향과 응용기술" 1036-1045, 1994

    13 "3차원기술 현황 및 전망" 5 (5): 7-12, 2001

    14 "3차원 수치영상을 이용한 암반사면의 불연속면 정보추출" 22 (22): 233-244, 2004

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2027 평가 재인증평가 신청대상 (재인증)
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2018-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2015-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2011-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2009-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2007-06-15 학술지등록 한글명 : 국토연구
    외국어명 : The Korea Spatial Planning Review
    KCI등재
    2007-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2004-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2003-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2001-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.86 0.86 0.92
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.83 0.85 1.241 0.13
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