Open AccessNonlinear physical segmentation algorithm for determining the layer boundary from lidar signal
Author(s) -
Feiyue Mao,
Jun Li,
Chen Li,
Wei Gong,
Qilong Min,
Wei Wang
Publication year - 2015
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.0a1589
Subject(s) - lidar , computer science , algorithm , segmentation , signal (programming language) , noise (video) , artificial intelligence , signal processing , remote sensing , pattern recognition (psychology) , radar , telecommunications , geology , image (mathematics) , programming language
Layer boundary (base and top) detection is a basic problem in lidar data processing, the results of which are used as inputs of optical properties retrieval. However, traditional algorithms not only require manual intervention but also rely heavily on the signal-to-noise ratio. Therefore, we propose a robust and automatic algorithm for layer detection based on a novel algorithm for lidar signal segmentation and representation. Our algorithm is based on the lidar equation and avoids most of the limitations of the traditional algorithms. Testing of the simulated and real signals shows that the algorithm is able to position the base and top accurately even with a low signal to noise ratio. Furthermore, the results of the classification are accurate and satisfactory. The experimental results confirm that our algorithm can be used for automatic detection, retrieval, and analysis of lidar data sets.