ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 179-184, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-179-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Sep 2017
SURFACE FITTING FILTERING OF LIDAR POINT CLOUD WITH WAVEFORM INFORMATION
S. Xing1, P. Li1,2, Q. Xu1, D. Wang1, and P. Li1 1Zhengzhou Institute of Surveying and Mapping, China
2State Key Laboratory of Geo-information Engineering, China
Keywords: LiDAR, Data Filtering, Waveform Information, Robust Estimation, Surface Fitting Abstract. Full-waveform LiDAR is an active technology of photogrammetry and remote sensing. It provides more detailed information about objects along the path of a laser pulse than discrete-return topographic LiDAR. The point cloud and waveform information with high quality can be obtained by waveform decomposition, which could make contributions to accurate filtering. The surface fitting filtering method with waveform information is proposed to present such advantage. Firstly, discrete point cloud and waveform parameters are resolved by global convergent Levenberg Marquardt decomposition. Secondly, the ground seed points are selected, of which the abnormal ones are detected by waveform parameters and robust estimation. Thirdly, the terrain surface is fitted and the height difference threshold is determined in consideration of window size and mean square error. Finally, the points are classified gradually with the rising of window size. The filtering process is finished until window size is larger than threshold. The waveform data in urban, farmland and mountain areas from “WATER (Watershed Allied Telemetry Experimental Research)” are selected for experiments. Results prove that compared with traditional method, the accuracy of point cloud filtering is further improved and the proposed method has highly practical value.
Conference paper (PDF, 1054 KB)


Citation: Xing, S., Li, P., Xu, Q., Wang, D., and Li, P.: SURFACE FITTING FILTERING OF LIDAR POINT CLOUD WITH WAVEFORM INFORMATION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 179-184, https://doi.org/10.5194/isprs-annals-IV-2-W4-179-2017, 2017.

BibTeX EndNote Reference Manager XML