24 October 2011 A new filtering algorithm for lidar data fused with image segmentation information
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Proceedings Volume 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications; 828610 (2011) https://doi.org/10.1117/12.912808
Event: International Symposium on Lidar and Radar Mapping Technologies, 2011, Nanjing, China
Abstract
The traditional LiDAR Point Cloud filtering and classification algorithms are mostly based on the elevation information, which are difficult to distinguish bare-ground and non-ground point with this single data source. In this article, fused image information such is used in the filtering process. Through the image segmentation, each segmentation object are extracted with the shape and spectral information, then these vector space objects and point cloud are matched and the decision tree is set up based on topology relationship for filtering. In order to test the performance of the proposed algorithm, test area with thick buildings and roads were applied, which could achieve a better filtering effect.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenghui Xu, Zhenghui Xu, Ling Liu, Ling Liu, Xiaodong Liu, Xiaodong Liu, } "A new filtering algorithm for lidar data fused with image segmentation information", Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 828610 (24 October 2011); doi: 10.1117/12.912808; https://doi.org/10.1117/12.912808
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