Building contour extraction from Airborne LIDAR point cloud for Digital Line Graphic

Yuhui Kan; Tonggang Zhang; Dan Zhong; Shiqiang Jia; Fugui Xie

doi:10.1117/12.2580325

8 November 2020 Building contour extraction from Airborne LIDAR point cloud for Digital Line Graphic

Yuhui Kan, Tonggang Zhang, Dan Zhong, Shiqiang Jia, Fugui Xie

Proceedings Volume 11525, SPIE Future Sensing Technologies; 115250O (2020) https://doi.org/10.1117/12.2580325
Event: SPIE Future Sensing Technologies, 2020, Online Only

Abstract

Based on IMBR algorithm, this paper proposes an algorithm for building contour extraction which is suitable for different scale digital line graphic (DLG). The new algorithm solves the tooth contour that may occur when IMBR algorithm is used to extract building contour. Firstly, a plane extraction algorithm based on region growth is used to extract the point cloud of the building roof. The algorithm introduces graded seed points and neighborhood-constrained growth criteria to avoid dividing the tree point cloud into building planes. Then, a Foot Point Correction algorithm is proposed to avoid the tooth contour in IMBR algorithm. The experimental results show that the Correctness and completeness of extracting building roof point cloud are above 97%. There is no tooth contour in the extracted building contour, which can meet the requirements of generating DLG with different scales.

Conference Presentation

Citation Download Citation

Yuhui Kan, Tonggang Zhang, Dan Zhong, Shiqiang Jia, and Fugui Xie "Building contour extraction from Airborne LIDAR point cloud for Digital Line Graphic", Proc. SPIE 11525, SPIE Future Sensing Technologies, 115250O (8 November 2020); https://doi.org/10.1117/12.2580325

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