Automatic building extraction from LIDAR digital elevation models and WorldView imagery

Nima Ekhtari; Mohammad Javad Valadan Zoej; Mahmoud Reza Sahebi; Ali Mohammadzadeh

doi:10.1117/1.3284718

1 December 2009 Automatic building extraction from LIDAR digital elevation models and WorldView imagery

Nima Ekhtari, Mohammad Javad Valadan Zoej, Mahmoud Reza Sahebi, Ali Mohammadzadeh

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 3, Issue 1, 033571 (December 2009). https://doi.org/10.1117/1.3284718

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.

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Nima Ekhtari, Mohammad Javad Valadan Zoej, Mahmoud Reza Sahebi, and Ali Mohammadzadeh "Automatic building extraction from LIDAR digital elevation models and WorldView imagery," Journal of Applied Remote Sensing 3(1), 033571 (1 December 2009). https://doi.org/10.1117/1.3284718

Published: 1 December 2009

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