Title :
A Study of a Denoising Method for Three Dimensional Data Based on Mean Shift
Author :
Yu, Fenghua ; Lai, Xudong
Author_Institution :
Sch. of RSIE, Wuhan Univ., Wuhan, China
Abstract :
LiDAR is a kind of remote sensing technology with a big development in recent years. It attracts much attention because of the rapid access of the three dimensional coordinates. But the model built from the LiDAR data includes noise inevitably. How to remove the noise to improve the quality of three dimensional models becomes a problem which can not be ignored. This paper does a research on the principles of Mean Shift method. The experimental thresholds were calculated after three dimensional data smoothing, and then denoise. Finally there are results of different data.
Keywords :
optical radar; remote sensing; signal denoising; LiDAR data; denoising method; light detection and ranging; mean shift method; remote sensing technology; three dimensional coordinates; three dimensional data smoothing; three dimensional models; Educational institutions; Filtering theory; Kernel; Laser radar; Low pass filters; Noise; Smoothing methods; Denoise; LiDAR; Mean Shift; Threshold;
Conference_Titel :
Intelligent Computation and Bio-Medical Instrumentation (ICBMI), 2011 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4577-1152-7
DOI :
10.1109/ICBMI.2011.41
