Adaptive Depth Extraction Algorithm for Ocean Lidar

doi:10.3788/CJL201845.1010001

	Adaptive Depth Extraction Algorithm for Ocean Lidar
	Liu, Menggeng1,2,3 ; He, Yan 2; Chen, Weibiao1,3 ; Wang, Yongxing 4,5; Zhu, Xia 5; Shi, Xiangao 5; Huang, Tiancheng 6; Zhang, Yufei 1,2
	2018
发表期刊	中国激光 (IF:1.8[JCR-2023],1.2[5-Year])
ISSN	0258-7025
卷号	45 期号:10
发表状态	已发表
DOI	10.3788/CJL201845.1010001
摘要	The laser pulse emitting from the ocean lidar would be stretched while it travels through the deep sea water, and the waveform received by the ocean lidar is quite different from the emitting signal. Therefore, the normal matched filtering algorithm using emitting signal as the matched filtering has a bad performance in processing ocean Lidar data. To improve the performance of matched filtering algorithm, Mento Carlo method is used to simulate the signal waveforms at different depths. The simulation waveforms are used as the matched filtering at the corresponding depth. The adaptive depth extraction algorithm is tested on the data set which is measured in the South China Sea. The test shows that the adaptive depth extraction algorithm is more accurate and robust on ocean lidar data set. A set of single beam sonar data is used to evaluate the accuracy of depth using the adaptive depth extraction algorithm. © 2018, Chinese Lasers Press. All right reserved.
收录类别	EI ; ESCI ; 北大核心
语种	英语
CSCD记录号	CSCD:6364670
出版者	Science Press
EI入藏号	20184806148445
EI主题词	Data handling ; Extraction ; Matched filters ; Oceanography ; Optical radar ; Remote sensing ; Seawater ; Signal filtering and prediction ; Statistical tests
EI分类号	Oceanography, General:471.1 ; Seawater, Tides and Waves:471.4 ; Electric Filters:703.2 ; Information Theory and Signal Processing:716.1 ; Radar Systems and Equipment:716.2 ; Data Processing and Image Processing:723.2 ; Acoustic Waves:751.1 ; Chemical Operations:802.3 ; Mathematical Statistics:922.2
原始文献类型	Journal article (JA)
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29103
专题	物质科学与技术学院_硕士生物质科学与技术学院_特聘教授组_陈卫标组
作者单位	1.Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai; 201800, China 2.University of Chinese Academy of Sciences, Beijing; 100049, China 3.School of Physical Science and Technology, ShanghaiTech University, Shanghai; 201210, China 4.Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing; Jiangsu; 210023, China 5.South China Sea, Air-Borne Detachment of China Marine Surveillance, Guangzhou; Guangdong; 510310, China 6.State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou; Zhejiang; 310012, China
第一作者单位	物质科学与技术学院
推荐引用方式 GB/T 7714	Liu, Menggeng,He, Yan,Chen, Weibiao,et al. Adaptive Depth Extraction Algorithm for Ocean Lidar[J]. 中国激光,2018,45(10).
APA	Liu, Menggeng.,He, Yan.,Chen, Weibiao.,Wang, Yongxing.,Zhu, Xia.,...&Zhang, Yufei.(2018).Adaptive Depth Extraction Algorithm for Ocean Lidar.中国激光,45(10).
MLA	Liu, Menggeng,et al."Adaptive Depth Extraction Algorithm for Ocean Lidar".中国激光 45.10(2018).