EXPOLAND-T1系统的外场试验初探  

Preliminary study on the field test of EXPOLAND-T1 system

作　　者：刘雅新 岳军[1,2] 冯宝成 王金良[1,2] 吴伟 李宏升[1,2] LIU Yaxin;YUE Jun;FENG Baocheng;WANG Jinliang;WU Wei;LI Hongsheng(School of Science,Qingdao University of Technology,Qingdao 266525,China;Qingdao Technology Innovation Center of Remote Sensing and Precise Measurement,Qingdao 266525,China;Shandong Huage Industrial Company,Jinan 250000,China)

机构地区：[1]青岛理工大学理学院,青岛266525 [2]青岛市遥感成像与精密测量技术创新中心,青岛266525 [3]山东华戈实业有限公司,济南250000

出　　处：《青岛理工大学学报》2023年第1期133-140,共8页Journal of Qingdao University of Technology

基　　金：国家自然科学基金资助项目(11975132);山东省高等教育科技计划项目(J18KZ012);山东省自然科学基金资助项目(ZR2019BF050)。

摘　　要：激光雷达测深技术是一种高效且极具潜力的水深探测技术。基于团队自主研制的激光雷达测深系统原理样机EXPOLAND-T1,在青岛市黄岛区丁家河水库和唐岛湾海域开展了测深试验。针对EXPOLAND-T1获得的定点测深回波信号,采用自主提出的多物理场处理方法(Multi-physical Method,简称MPM)与卷积神经网络方法(Convolutional Neural Network,简称CNN)进行深度反演,并获得试验区域水体剖面深度图。通过对试验进行分析,验证了原理设计样机已达到设计目标,为水深特征提取和大规模测绘提供了有效依据。LiDAR bathymetry technology is an efficient and potential technology for water depth detection. Based on the self-developed prototype EXPOLAND-T1 of LiDAR bathymetry system, bathymetry tests were carried out in the Dingjiahe reservoir and Tangdaowan seas in Huangdao District, Qingdao. Depth inversion was performed by using the Multi-physics Method(‘MPM’) and Convolutional Neural Network method(‘CNN’) to process the echo signals detected on the fixed point and obtain the depth map of water body profile in the test area. Through the analysis of the test, it is verified that the self-designed prototype of the LiDAR bathymetry system has reached the design goal, which provides an effective basis for the extraction of water depth features and for large-scale surveying and mapping.

关 键 词：激光雷达测深 EXPOLAND-T1 MPM CNN 

分 类 号：P229.1[天文地球—大地测量学与测量工程]