DEM Generation and Building Detection from Lidar Data

This article explains the technique of DEM generation and building detection from Lidar (Light Detection and Ranging) data. Compared with traditional photogrammetry, lidar has advantages in measuring surface in terms of accuracy and density, automation, and fast delivery time. The author presents lidar as a companion technology for traditional photogrammetry. The direct product that can be derived from lidar data is the DSM (Digital Surface Model), which depicts the topography of the earth’s surface, including objects above the terrain. Further processing can be carried out to generate DEM (Digital Terrain Model) and object models like buildings, which is very useful information in telecommunication, city planning, flood control, and tourism. The author proposes a new method to extract ground points for DEM generation and to detect points belonging to buildings; a further strategy for boundary regularization is also proposed. The author concludes that these new methods for DEM generation and building detection are very efficient and effective, particularly in urban and suburban areas.

[1]  Wolfgang Förstner,et al.  Towards automatic building extraction from high-resolution digital elevation models , 1995 .

[2]  Ansgar Brunn,et al.  Extracting Buildings from Digital Surface models , 1997 .

[3]  Pascal Fua,et al.  Imposing Hard Constraints on Deformable Models through Optimization in Orthogonal Subspaces , 1997, Comput. Vis. Image Underst..

[4]  K. Kraus,et al.  Determination of terrain models in wooded areas with airborne laser scanner data , 1998 .

[5]  Claus Brenner,et al.  Extraction of buildings and trees in urban environments , 1999 .

[6]  Emmanuel P. Baltsavias,et al.  A comparison between photogrammetry and laser scanning , 1999 .

[7]  Peter Axelsson,et al.  Processing of laser scanner data-algorithms and applications , 1999 .

[8]  F. Ackermann Airborne laser scanning : present status and future expectations , 1999 .

[9]  G. Vosselman SLOPE BASED FILTERING OF LASER ALTIMETRY DATA , 2000 .

[10]  P. Lohmann,et al.  APPROACHES TO THE FILTERING OF LASER SCANNER DATA , 2000 .

[11]  H. Maas,et al.  THE USE OF ANISOTROPIC HEIGHT TEXTURE MEASURES FOR THE SEGMENTATION OF AIRBORNE LASER SCANNER DATA , 2000 .

[12]  Stefan Mayer Constrained optimization of building contours from high-resolution ortho-images , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[13]  G. Sithole FILTERING OF LASER ALTIMETRY DATA USING A SLOPE ADAPTIVE FILTER , 2001 .

[14]  Ayman Habib,et al.  INTERPOLATION OF LIDAR DATA AND AUTOMATIC BUILDING EXTRACTION , 2002 .

[15]  Jochen Schiewe Integration of multi-sensor data for landscape modeling using a region-based approach , 2003 .

[16]  J. Hyyppä,et al.  Automatic detection of buildings from laser scanner data for map updating , 2003 .

[17]  Nicolas H. Younan,et al.  DTM extraction of lidar returns via adaptive processing , 2003, IEEE Trans. Geosci. Remote. Sens..