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Application of Signal Processing in Lidar

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: 20 February 2025 | Viewed by 1945

Special Issue Editors


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Guest Editor
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: study on laser echo characteristics; application of laser radar

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Guest Editor
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: space-borne aerosol-cloud high-spectral-resolution lidar: retrieval algorithm and airborne demonstration

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Guest Editor
National Engineering Laboratory for Nondestructive Testing and Optoelectric Sensing Technology and Application, Nanchang Hangkong University, Nanchang 330063, China
Interests: light scattering and spectroscopy technology
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Special Issue Information

Dear Colleagues,

Lidar technologies have long been used through the Global Navigation Satellite System (GNSS) but have been commercially used since the 1990's. Lidar is commonly used to make high-resolution maps, with applications in surveying, geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, laser guidance, airborne laser swath mapping (ALSM), and laser altimetry. It is used to make digital 3D representations of areas on the Earth's surface and the ocean bottom of the intertidal and near coastal zones, and measure atmospheric and marine environments by varying the wavelength of light. It has also been increasingly used in control and navigation for autonomous cars and for the helicopter Ingenuity on its record-setting flights over the terrain of Mars. Lidar’s emergence as a cost effective and efficient tool in cloud point data acquisition has seen a growing body of peer-reviewed literature documentation in recent years.

The purpose of this Special Issue is to provide a platform for scholars to share the latest achievements in this field. We invite submissions of original research and review articles that are of high quality, impact, and novelty. The scope of this Special Issue encompasses papers in all areas of Lidar research, including, but not limited to:

LiDAR-related theory, design, experiments, applications, signal processing, system modeling, system composition, technology, light sources, optical systems, optical signal detection, and numerical simulations. Reviews of LiDAR-related developments of systems and technologies are also welcome.

Prof. Dr. Kun Liang
Prof. Dr. Lingbing Bu
Prof. Dr. Jiulin Shi
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • lidar signal processing
  • optical signal processing
  • lidar mapping
  • LIDAR data analysis
  • RADAR data analysis
  • geographic information systems (GISs)
  • terrestrial laser scanning

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Published Papers (2 papers)

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Research

17 pages, 2402 KiB  
Article
High Accuracy Reconstruction of Airborne Streak Tube Imaging LiDAR Using Particle Swarm Optimization
by Xing Wang, Zhaodong Chen, Chaowei Dong, Zhiwei Dong, Deying Chen and Rongwei Fan
Appl. Sci. 2024, 14(15), 6843; https://doi.org/10.3390/app14156843 - 5 Aug 2024
Cited by 1 | Viewed by 660
Abstract
Airborne streak tube imaging LiDAR (STIL) consists of several different data-generating subsystems and introduces system errors each time it is installed on an aircraft. These errors change with each installation, which makes the parametric calibration of the LiDAR meaningless. In this study, we [...] Read more.
Airborne streak tube imaging LiDAR (STIL) consists of several different data-generating subsystems and introduces system errors each time it is installed on an aircraft. These errors change with each installation, which makes the parametric calibration of the LiDAR meaningless. In this study, we propose a high-precision reconstruction method for point clouds that can be used without calibrating the system parameters. In essence, after each remote sensing measurement, a self-checking process is performed with experimental data to replace the fixed system parameters. In this process, the splicing error of the same region measured under different conditions is used as a criterion to optimize the reconstruction parameters via a particle swarm optimization (PSO) algorithm. For a detection distance of 3000 m, the elevation error of the point cloud reconstruction reaches more than 1 m if the placement parameters are not optimized; after optimization, the elevation error can be controlled within 0.3 m. Full article
(This article belongs to the Special Issue Application of Signal Processing in Lidar)
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22 pages, 5453 KiB  
Article
Research on Laser Dual-Mode Fusion Detection Method of Ship Wake Bubbles
by Siguang Zong, Xin Zhang, Zike Duan, Shaopeng Yang and Bao Chen
Appl. Sci. 2024, 14(9), 3695; https://doi.org/10.3390/app14093695 - 26 Apr 2024
Cited by 2 | Viewed by 713
Abstract
Addressing the issues of weak echo signals and strong background interference in the laser detection of ships’ wakes, an analysis of the laser backscatter detection characteristics of ships’ wakes has been conducted. Based on the Monte Carlo method, a simulation model for the [...] Read more.
Addressing the issues of weak echo signals and strong background interference in the laser detection of ships’ wakes, an analysis of the laser backscatter detection characteristics of ships’ wakes has been conducted. Based on the Monte Carlo method, a simulation model for the dual-mode fusion detection of ship wake bubbles using laser technology was constructed under different target characteristics. A dual-mode fusion detection system for ships’ wakes was designed, and an indoor experimental platform for the dual-mode fusion detection of ship wake bubbles using laser technology was established. To address problems such as a wide range of echo signal intensity changes, severe signal fluctuations, low resolution, poor image contrast, and blurred target edge information, an algorithm based on multi-timescale hierarchical fusion signal processing and temporal difference accumulation image processing was proposed. Verification experiments for ship wake detection were conducted, which revealed that the dual-mode fusion detection method for ship wake bubbles using laser technology can effectively enhance the detection signal-to-background ratio and counter the maneuvering evasion of underwater weapons by ships. It achieved high sensitivity, large dynamic range, high resolution, and a wide field of view detection and real-time signal processing of ship wake bubble targets of different magnitudes against a strong reverberation background. The effectiveness of the dual-mode fusion detection mode was validated, providing theoretical support for the overall system design and parameter settings. Full article
(This article belongs to the Special Issue Application of Signal Processing in Lidar)
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