Research Papers

Automatic building extraction from LIDAR digital elevation models and WorldView imagery

[+] Author Affiliations
Nima Ekhtari, Mohammad Javad Valadan Zoej, Mahmod Reza Sahebi, Ali Mohammadzadeh

K. N. Toosi University of Technology, Photogrammetry and Remote Sensing, Opposite to Eskan Building- Mirdamad Cross- Valiasr Street, Tehran, Tehran 19967-15433 Iran

J. Appl. Remote Sens. 3(1), 033571 (December 14, 2009). doi:10.1117/1.3284718
History: Received August 29, 2009; Revised October 12, 2009; Accepted December 9, 2009; December 14, 2009; Online December 14, 2009
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Abstract

This paper proposes an automatic approach for building extraction in suburban and rural areas by integrating the light detection and ranging (LIDAR) data and WorldView imagery. This approach consists of two major steps: building detection and 2D building reconstruction. In the first step, a normalized digital surface model (nDSM) is produced from LIDAR data. Then a building mask is obtained from nDSM based on the elevation and roughness analyses. In the second step, the building mask, along with orthoimage are used to determine preliminary position of the building boundaries. Then a least square line fitting process is applied to produce line segments. Finally the boundaries of buildings are reconstructed by grouping line segments, and intersection of the favorable groups. The proposed approach has shown a 92.5% completeness and 94.75% correctness.

© 2009 Society of Photo-Optical Instrumentation Engineers

Topics

LIDAR

Citation

Nima Ekhtari ; Mohammad Javad Valadan Zoej ; Mahmod Reza Sahebi and Ali Mohammadzadeh
"Automatic building extraction from LIDAR digital elevation models and WorldView imagery", J. Appl. Remote Sens. 3(1), 033571 (December 14, 2009). ; http://dx.doi.org/10.1117/1.3284718


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