Weak Echo Detection from Single Photon Lidar Data Using a Rigorous Adaptive Ellipsoid Searching Algorithm
1
Geosensing Systems Engineering & Sciences, The University of Houston, Houston, TX 77204, USA
2
Civil & Environmental Engineering, The University of Houston, Houston, TX 77204, USA
3
Leica Geosystems, Lanham, MD 20706, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(7), 1035; https://doi.org/10.3390/rs10071035
Received: 5 June 2018
/
Revised: 21 June 2018
/
Accepted: 26 June 2018
/
Published: 1 July 2018
Single photon lidar (SPL) systems have great potential to be an effective tool for mapping due to their high data collection efficiency. However, the large number of false returns in SPL point clouds represents a huge challenge for the extraction of weak signal targets with low reflectivity or small cross sections. Numerous filtering methods have been proposed that attempt to effectively remove these noise points from the final point cloud model. However, weak signal points have similar characteristics to noise returns, and thus can be incorrectly eliminated as noise points during the filtering process. Herein, a novel voxel-spherical adaptive ellipsoid searching (VSAES) method is proposed, by which weak signal returns can be successfully retained while still removing a majority of the noise points. By employing this voxel-spherical (VS) model, our proposed method can simultaneously process a combined SPL dataset containing multiple flightlines, in which the noise density is unevenly distributed throughout the whole dataset. In addition, an improved adaptive ellipsoid searching (AES) method based on hypothesis testing is able to remove noise points more robustly than the originally described version. The experimental results show that the proposed method retains 89.1% of the weak signal point returns from electric power lines, which is a significant improvement over the performance of either to the original AES method (25.9%) or a histogram filtering based method (13.4%).
View Full-Text
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Wang, X.; Glennie, C.; Pan, Z. Weak Echo Detection from Single Photon Lidar Data Using a Rigorous Adaptive Ellipsoid Searching Algorithm. Remote Sens. 2018, 10, 1035. https://doi.org/10.3390/rs10071035
AMA Style
Wang X, Glennie C, Pan Z. Weak Echo Detection from Single Photon Lidar Data Using a Rigorous Adaptive Ellipsoid Searching Algorithm. Remote Sensing. 2018; 10(7):1035. https://doi.org/10.3390/rs10071035
Chicago/Turabian StyleWang, Xiao, Craig Glennie, and Zhigang Pan. 2018. "Weak Echo Detection from Single Photon Lidar Data Using a Rigorous Adaptive Ellipsoid Searching Algorithm" Remote Sensing 10, no. 7: 1035. https://doi.org/10.3390/rs10071035
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
