Araştırma Makalesi
PDF EndNote BibTex RIS Kaynak Göster

Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul

Yıl 2016, Cilt 3, Sayı 1, 48 - 55, 07.03.2016
https://doi.org/10.30897/ijegeo.304428

Öz

Airborne Laser scanning systems with light detection and ranging (LIDAR) technology is one of the fast and accurate 3D point data acquisition techniques. Generating accurate digital terrain and/or surface models (DTM/DSM) is the main application of collecting LIDAR range data. The LIDAR technique facilitates the rapid production of models which contain ground and above surface objects in 3D (Jaafar et al., 1999). Today automatic / semi-automatic generation of 3D digital building models and other city furniture from LIDAR data is a very active area of scientific research (Elaksher and Bethel, 2002) indicates that manual surface reconstruction is very costly and time consuming, and the development of automated algorithms is of great importance. Currently with this LIDAR data in place, it is possible to derive models and information (e.g. the heights of the buildings).This paper focuses on and explains our efforts on automatically checking Buildings’ Zoning Regulation Compliance by integrating geometric information derived from 3D LIDAR data and semantic information acquired from 2D Implementation Development Maps

Kaynakça

  • Bailang,Y. Hongxing,L Jianping,W. Yingjie,H. and Li, ,Z. 2010, Automated derivation of urban building density information using airborne LiDAR data and object-based method. Landscape and Urban Planning. 98(3-4), 210-219.
  • Elasksher, A. and Bethel, J. 2002. Building Extraction Using Lidar Data, ASORS-ACSM Annual Conference and FIG XXII Congress, Apr. 22-26, 2002.
  • Jaafar, G. Priestnall, P. and P.M. Mather, 1999. The effects of LIDAR DSM grid resolution on categorising residential and industrial buildings. Proceedings of the ISPRS Workshop, 9-11 NOVEMBER 1999, La Jolla, USA.
  • Prerna, R. and Singh, C.K. 2016, Evaluation of LiDAR and image segmentation based classification techniques for automatic building footprint extraction for a segment of Atlantic County, New Jersey, Geocarto International, Volume 31(6), pp.694-713.
  • Zhang, K. Yan, J.; Chen, S-C. 2006 Automatic Construction of Building Footprints From Airborne LIDAR Data, Geoscience and Remote Sensing, IEEE Transactions on , Vol.44, No.9, pp.2523,2533.
  • Zhao, Z., Duan, Y., Zhang, Y and Cao, R. 2015 Extracting buildings from and regularizing boundaries in airborne lidar data using connected operators, International Journal of Remote Sensing, Vol. 37(4), pp. 889-912.
  • Yu, TT., Yang, M., Chen, CS, 2005, Automatic feature extraction and stereo image processing with genetic algorithms for LIDAR data, 2nd International Conference on Computer Graphics, Imaging and Vision (CGVIS 2005), Beijing,, China, 26-29 July 2005.
  • Liu, X. 2008. Airborne LiDAR for DEM generation: some critical issues Progress in Physical Geography, Vol. 32, No. 1. pp. 31-49.
  • Cheng, L. Gong, J. Chen, X and Han, P. 2008. Building boundary extraction from high resolution imagery and LiDAR data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b.

Yıl 2016, Cilt 3, Sayı 1, 48 - 55, 07.03.2016
https://doi.org/10.30897/ijegeo.304428

Öz

Kaynakça

  • Bailang,Y. Hongxing,L Jianping,W. Yingjie,H. and Li, ,Z. 2010, Automated derivation of urban building density information using airborne LiDAR data and object-based method. Landscape and Urban Planning. 98(3-4), 210-219.
  • Elasksher, A. and Bethel, J. 2002. Building Extraction Using Lidar Data, ASORS-ACSM Annual Conference and FIG XXII Congress, Apr. 22-26, 2002.
  • Jaafar, G. Priestnall, P. and P.M. Mather, 1999. The effects of LIDAR DSM grid resolution on categorising residential and industrial buildings. Proceedings of the ISPRS Workshop, 9-11 NOVEMBER 1999, La Jolla, USA.
  • Prerna, R. and Singh, C.K. 2016, Evaluation of LiDAR and image segmentation based classification techniques for automatic building footprint extraction for a segment of Atlantic County, New Jersey, Geocarto International, Volume 31(6), pp.694-713.
  • Zhang, K. Yan, J.; Chen, S-C. 2006 Automatic Construction of Building Footprints From Airborne LIDAR Data, Geoscience and Remote Sensing, IEEE Transactions on , Vol.44, No.9, pp.2523,2533.
  • Zhao, Z., Duan, Y., Zhang, Y and Cao, R. 2015 Extracting buildings from and regularizing boundaries in airborne lidar data using connected operators, International Journal of Remote Sensing, Vol. 37(4), pp. 889-912.
  • Yu, TT., Yang, M., Chen, CS, 2005, Automatic feature extraction and stereo image processing with genetic algorithms for LIDAR data, 2nd International Conference on Computer Graphics, Imaging and Vision (CGVIS 2005), Beijing,, China, 26-29 July 2005.
  • Liu, X. 2008. Airborne LiDAR for DEM generation: some critical issues Progress in Physical Geography, Vol. 32, No. 1. pp. 31-49.
  • Cheng, L. Gong, J. Chen, X and Han, P. 2008. Building boundary extraction from high resolution imagery and LiDAR data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

İsmail Büyüksalih>

Yayımlanma Tarihi 7 Mart 2016
Yayınlandığı Sayı Yıl 2016, Cilt 3, Sayı 1

Kaynak Göster

Bibtex @araştırma makalesi { ijegeo304428, journal = {International Journal of Environment and Geoinformatics}, eissn = {2148-9173}, address = {}, publisher = {Cem GAZİOĞLU}, year = {2016}, volume = {3}, number = {1}, pages = {48 - 55}, doi = {10.30897/ijegeo.304428}, title = {Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul}, key = {cite}, author = {Büyüksalih, İsmail} }
APA Büyüksalih, İ. (2016). Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul . International Journal of Environment and Geoinformatics , 3 (1) , 48-55 . DOI: 10.30897/ijegeo.304428
MLA Büyüksalih, İ. "Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul" . International Journal of Environment and Geoinformatics 3 (2016 ): 48-55 <https://dergipark.org.tr/tr/pub/ijegeo/issue/28169/304428>
Chicago Büyüksalih, İ. "Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul". International Journal of Environment and Geoinformatics 3 (2016 ): 48-55
RIS TY - JOUR T1 - Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul AU - İsmailBüyüksalih Y1 - 2016 PY - 2016 N1 - doi: 10.30897/ijegeo.304428 DO - 10.30897/ijegeo.304428 T2 - International Journal of Environment and Geoinformatics JF - Journal JO - JOR SP - 48 EP - 55 VL - 3 IS - 1 SN - -2148-9173 M3 - doi: 10.30897/ijegeo.304428 UR - https://doi.org/10.30897/ijegeo.304428 Y2 - 2016 ER -
EndNote %0 International Journal of Environment and Geoinformatics Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul %A İsmail Büyüksalih %T Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul %D 2016 %J International Journal of Environment and Geoinformatics %P -2148-9173 %V 3 %N 1 %R doi: 10.30897/ijegeo.304428 %U 10.30897/ijegeo.304428
ISNAD Büyüksalih, İsmail . "Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul". International Journal of Environment and Geoinformatics 3 / 1 (Mart 2016): 48-55 . https://doi.org/10.30897/ijegeo.304428
AMA Büyüksalih İ. Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul. International Journal of Environment and Geoinformatics. 2016; 3(1): 48-55.
Vancouver Büyüksalih İ. Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul. International Journal of Environment and Geoinformatics. 2016; 3(1): 48-55.
IEEE İ. Büyüksalih , "Building Zone Regulation Compliance Using LIDAR Data: Real-Life Tests in İstanbul", International Journal of Environment and Geoinformatics, c. 3, sayı. 1, ss. 48-55, Mar. 2016, doi:10.30897/ijegeo.304428