A new filtering algorithm for lidar data fused with image segmentation information

Zhenghui Xu; Ling Liu; Xiaodong Liu

doi:10.1117/12.912808

24 October 2011 A new filtering algorithm for lidar data fused with image segmentation information

Zhenghui Xu, Ling Liu, Xiaodong Liu

Author Affiliations +

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.

Citation Download Citation

Zhenghui Xu, Ling Liu, and 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); https://doi.org/10.1117/12.912808

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE