최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국측량학회지 = Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.37 no.6, 2019년, pp.545 - 554
안효원 (Dept. of Civil and Environmental Engineering, Myongji University) , 김창재 (Dept. of Civil and Environmental Engineering, Myongji University) , 이효성 (Dept. of Civil Engineering, Sunchon National University) , 권원석 (Agency for Defense Development)
This research aims to provide a building area extraction approach over the areas where data acquisition is impossible through field surveying, aerial photography and lidar scanning. Hence, high-resolution satellite images, which have high accessibility over the earth, are utilized for the automated ...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
건물 모델링 수행의 활용 자료는 어떻게 나눌 수 있는가? | 건물 모델링의 주요한 목적중의 하나는 3차원의 도시 모델을 자동으로 정확하고 신속하게 구축함에 있다. 건물 모델링은 일반적으로 건물 대상지추출(building hypothesis generation)과, 건물 형상화(building reconstruction)로 나누어 생각할 수 있다. | |
건물 대상지 추출은 무엇인가? | 우선, 건물 대상지 추출은 주어진 데이터에서 건물과 비건물영역을 분리시키는 과정이다. 그 일차적인 과정으로 지면과 비지면을 분리시키는 과정이 선행되며, 이후 비지면 데이터에서 크기와 높이 등을 고려하여 건물 대상지를 추출한다(Vosselman, 2000; Roggero, 2001; Zhang 2003; Choi and Cho,2007; Bartels and Wei, 2010). | |
본 논문에서 건물 영역 추출에 사용하는 하이브리드 접근 방법은 어떠한가 | 영상 매칭을 통하여 얻어진 3차원 점군 데이터만을 활용하여 건물 영역 추출을 수행하기에는 매칭결과물의 불완전성과 정확도 측면에서 한계가있기에 본 연구에서는 매칭으로 추출된 3차원 점군데이터와 위성영상의 시맨틱(semantic) 정보를 동시에 고려하는 하이브리드 접근 방법을 기반으로 직각형상 이상의 다양한 건물 영역 추출이 가능한 데이터 기반 방법론을 제시하였다. 제시된 방법론은 간략하게 1) 스테레오 위성영상의 매칭을 통하여 3차원 점군데이터를 생성하고, 2) 지면 및 비지면 점군 데이터 분류와 초기 건물대상지 추출, 3) 초기 건물 대상지와 pan-sharpened 위성영상을 활용한 색상분할기반 건물 대상지 추출, 4) 위성영상의 선형정보를 활용한 건물 영역 정밀 추출의 단계로 구성되어 있다. 본 논문 2장에서는 제시된 건물 영역 추출 방법론에 대하여 단계별로 구체적인 기술을 하였으며, 3장에서는 다양한 형태의 건물에 대하여 적용한 실험결과 및 정확도 분석을 기술하였고, 4장에서는 결론을 언급하였다. |
Alharthy, A. (2003), Airborne Laser Scanning: System Evaluation and Building Extraction, Ph.D. dissertation. Purdue University, Indiana, USA, 233p.
Baek, S.H. and Park, S.Y. (2010), A stereo matching technique using multi-directional scan-line optimization and reliabilitybased hole-filling, The KIPS Transactions: Part B, Vol.17, No. 2, pp. 115-124. (in Korean with English abstract)
Baillard, C., Schmid, C., Zisserman, A., and Fitzgibbon, A. (1999), Automatic line matching and 3D reconstruction of buildings from multiple views, International Archives of Photogrammetry and Remote Sensing, IAPRS, 8-10 September, Munich, Germany, Vol.32, pp. 69-80.
Bartels, M. and Wei, H. (2010), Threshold-free object and ground point separation in LIDAR data, Pattern Recognition Letters, Vol. 31, No. 10, pp. 1089-1099.
Chen, L.C., Teo, T.A., Rau, J.Y., Liu, J.K., and Hsu, W.C. (2005), Building reconstruction from LIDAR data and aerial imagery, In Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium IGARSS'05, IEEE, 25-29 July, Seoul, Korea, Vol. 4, pp. 2846-2849.
Chen, T.W., Chen, Y.L., and Chien, S.Y. (2008), Fast image segmentation based on K-Means clustering with histograms in HSV color space, In 2008 IEEE 10th Workshop on Multimedia Signal Processing, IEEE, 8-10 October, Cairns, Qld, Australia, pp. 322-325.
Cheng, L., Gong, J., Li, M., and Liu, Y. (2011), 3D building model reconstruction from multi-view aerial imagery and lidar data, Photogrammetric Engineering and Remote Sensing, Vol. 77, No. 2, pp. 125-139.
Choi Y. and Cho G. (2007), Classification of raw LiDAR data using entropy theory, Journal of the Korean Society of Civil Engineers, Vol. 27(2D), pp. 225-231.
Faig, W. and Widmer, T. (2000), Automatic building extraction from aerial images, International Archives of Photogrammetry and Remote Sensing, IEEE, 4-8 December, Cancun, Mexico, Vol. 33, pp. 1708-1715.
Forstner, W. (1999), 3D-city models: automatic and semiautomatic acquisition methods, Photogrammetric Week 99, PHOWO99, 20-24 September, Stuttgart, Germany, pp.291-303.
Haala, N., Brenner, C., and Anders, K.H. (1998), 3D urban GIS from laser altimeter and 2D map data, International Archives of Photogrammetry and Remote Sensing, ISPRS, 6-10 July, Columbus, Ohio, USA, Vol. 32, pp. 339-346.
Habib, A.F., Zhai, R., and Kim, C. (2010), Generation of complex polyhedral building models by integrating stereo-aerial imagery and lidar data, Photogrammetric Engineering and Remote Sensing, Vol. 76, No. 5, pp. 609-623.
Hirschmuller, H. (2008), Stereo processing by semi-global matching and mutual information, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, No. 2, pp. 328-341.
Hirschmuller, H. and Scharstein, D. (2009), Evaluation of stereo matching costs on images with radiometric differences, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 9, pp. 1582-1599.
Kim, C., Habib, A., Pyeon, M., Kwon, G.R., Jung, J., and Heo, J. (2016), Segmentation of planar surfaces from laser scanning data using the magnitude of normal position vector for adaptive neighborhoods, Sensors, Vol. 16, No. 2, p. 140.
Kim, Z., Huertas, A., and Nevatia, R. (2001), Automatic description of buildings with complex rooftops from multiple images, Computer Vision and Pattern Recognition CVPR 2001, IEEE, 8-14 December, Kauai, HI, USA, Vol. 2, pp. 272-279.
Kwak, E. (2013), Automatic 3D Building Model Generation by Integrating LiDAR and Aerial Images Using a Hybrid Approach, Ph.D. dissertation, University of Calgary, Alberta, Canada, 163p.
Kwak, E., Al-Durgham, M., and Habib, A. (2012), Automatic 3D building model generation from lidar and image data using sequential minimum bounding rectangle, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS, 5 August - 01 September, Melbourne, Australia, Vol. 39, pp. 285-290.
Kwak, E. and Habib, A. (2014), Automatic representation and reconstruction of DBM from LiDAR data using recursive minimum bounding rectangle, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 93, pp. 171-191.
Lee, D.H., Lee, K.M., and Lee, S.U. (2008), Fusion of lidar and imagery for reliable building extraction, Photogrammetric Engineering and Remote Sensing, Vol. 74, No. 2, pp. 215-225.
Ma, R. (2004), Building Model Reconstruction from LiDAR Data and Aerial Photographs, Ph.D. dissertation, The Ohio State University, Ohio, USA, 166p.
Maas, H.G. and Vosselman, G. (1999), Two algorithms for extracting building models from raw laser altimetry data. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 54, pp. 153-163.
Pingel, T.J., Clarke, K.C., and Mcbride, W.A. (2013), An improved simple morphological filter for the terrain classification of airborne LIDAR data, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 77, pp. 21-30.
Roggero, M. (2001), Airborne laser scanning-clustering in raw data, International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, ISPRS, 22-24 October, Annapolis, Maryland, USA, Vol. 34, pp. 227-232.
Rottensteiner, F. and Jansa, J. (2002), Automatic extraction of buildings from LIDAR data and aerial images, International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, ISPRS, 9-12 July, Ottawa, Canada, Vol. 34, pp. 569-574.
Sampath, A. and Shan, J. (2010), Segmentation and reconstruction of polyhedral building roofs from aerial lidar point clouds, IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 3, pp. 1554-1567.
Schenk, T. and Csatho, B. (2002), Fusion of LIDAR data and aerial imagery for a more complete surface description, International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, ISPRS, 9-13 September, Graz, Austria, Vol. 34, pp. 310-317.
Seo, S. (2003), Model-based Automatic Building Extraction from Lidar and Aerial Imagery, Ph.D dissertation, The Ohio State University, Ohio, USA, 139p
Sohn, G., Huang, X., and Tao, V. (2008), Using a binary space partitioning tree for reconstructing polyhedral building models from airborne lidar data, Photogrammetric Engineering and Remote Sensing, Vol. 74, No. 11, pp. 1425-1438.
Suveg, I. and Vosselman, G. (2004), Reconstruction of 3D building models from aerial images and maps, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 58, pp. 202-224.
Toutin, T. (2004), Comparison of stereo-extracted DTM from different high-resolution sensors: SPOT-5, EROS-A, IKONOSII, and QuickBird, IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, No. 10, pp. 2121-2129.
Von Gioi, R.G., Jakubowicz, J., Morel, J.M., and Randall, G. (2010), LSD: A fast line segment detector with a false detection control, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 4, pp. 722-732.
Von Gioi, R.G., Jakubowicz, J., Morel, J.M., and Randall, G. (2012), LSD: a line segment detector, Image Processing on Line, Vol. 2, pp. 35-55.
Vosselman, G. (2000), Slope based filtering of laser altimetry data, International Archives of Photogrammetry and Remote Sensing, IAPRS, 16-22 July, Amsterdam, The Netherlands, Vol. 33, pp. 935-942.
Vosselman, G. and Dijkman, S. (2001), 3D building model reconstruction from point clouds and ground plans, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS, 22-24 October, Annapolis, Maryland, Vol. 34, pp. 37-44.
Wang, Y., Schultz, S., and Giuffrida, F. (2008), Pictometry's proprietary airborne digital imaging system and its application in 3D city modelling, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS, 3-11 July, Beijing, China, Vol. 37, pp. 1065-1070.
Yan, L. and Li, P. (2014), Building footprints extraction methods based on marker-controlled watershed segmentation and local radon transformation. Information Technology Journal, Vol. 13, No. 11, pp. 1903-1907.
Zhang, K., Chen, S.C., Whitman, D., Shyu, M.L., Yan, J., and Zhang, C. (2003), A progressive morphological filter for removing nonground measurements from airborne LIDAR data, IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 4, pp. 872-882.
Zhang, L. and Gruen, A. (2006), Multi-image matching for DSM generation from IKONOS imagery, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 60, No. 3, pp. 195-211.
Zheng, L., Zhang, J., and Wang, Q. (2009), Mean-shiftbased color segmentation of images containing green vegetation, Computers and Electronics in Agriculture, Vol. 65, No. 1, pp. 93-98.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.