Optimization Decomposition Method of Full-waveform LiDAR

• Main Authors: WANG Binhui, SONG Shalei, GONG Wei, CHEN Zhenwei, LIN Xin, CHENG Xuewu, LI Faquan, SHI Shuo
• Format: Article
• Language: zho
• Published: Surveying and Mapping Press 2017-11-01
• Series: Acta Geodaetica et Cartographica Sinica
• Subjects: full-waveform LiDAR; waveform decomposition; Gaussian function; LM algorithm
• Online Access: http://html.rhhz.net/CHXB/html/2017-11-1859.htm

With the improvement of data storage capacity and data-processing capabilities,full waveform LiDAR develops rapidly and then from waveform data abundant information about the physical characteristics of the targets can be effectively retrieved through data processing. Waveform decomposition is therefore the key to full waveform LiDAR data processing. However,the number and initial parameters of the echo components are difficult to set in waveform decomposition. Conventional decomposition methods detect echo components by peak points or using the threshold method,which may ignore some overlapping components and show low accuracy. To this end,in this paper a novel method based on LM algorithm that takes into account both peak points and inflection points is adopted and it can extract the location,amplitude and FHWM of the echo components,proving it is a reliable and high accurate decomposition algorithm. To further demonstrate the advantages of the suggested method,waveform data measured by a full waveform LiDAR demonstration system and generated from simulation were both decomposed using the method. The results show that the suggested algorithm is efficient,promising and can effectively decompose adjacent echo components,then will improve the accuracy in the next phase of data processing.