15 November 2007 Ground extraction from airborne laser data based on wavelet analysis
Author Affiliations +
Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871W (2007) https://doi.org/10.1117/12.750425
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
With the advantages of high resolution and accuracy, airborne laser scanning data are widely used in topographic mapping. In order to generate a DTM, measurements from object features such as buildings, vehicles and vegetation have to be classified and removed. However, the automatic extraction of bare earth from point clouds acquired by airborne laser scanning equipment remains a problem in LIDAR data filtering nowadays. In this paper, a filter algorithm based on wavelet analysis is proposed. Relying on the capability of detecting discontinuities of continuous wavelet transform and the feature of multi-resolution analysis, the object points can be removed, while ground data are preserved. In order to evaluate the performance of this approach, we applied it to the data set used in the ISPRS filter test in 2003. 15 samples have been tested by the proposed approach. Results showed that it filtered most of the objects like vegetation and buildings, and extracted a well defined ground model.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liang Xu, Liang Xu, Bowen Jiang, Bowen Jiang, Jia Li, Jia Li, "Ground extraction from airborne laser data based on wavelet analysis", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871W (15 November 2007); doi: 10.1117/12.750425; https://doi.org/10.1117/12.750425

Back to Top