Experiments of ocean surface waves and underwater target detection imaging using a slit Streak Tube Imaging Lidar

Gao, Jian; Sun, Jianfeng; Wang, Qi

doi:10.1016/j.ijleo.2014.05.005

Cited by 20 publications

(3 citation statements)

References 7 publications

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“…Lidar is a significant technology for capturing 3D information and has been widely used in a multitude of fields, such as terrain mapping, building virtual environments, urban modeling, target recognition and car navigation [1][2][3][4]. Among the various lidar systems, the streak tube imaging lidar (STIL) has the advantages of the deep imaging field of view, high frame rate and high range accuracy, and is considered one of the most promising 3D lidar imaging systems [5].…”

Section: Introductionmentioning

confidence: 99%

Occluded target detection of streak tube imaging lidar using image inpainting

Guo

Zhai

et al. 2021

Meas. Sci. Technol.

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We improve the system of multi-slit streak tube imaging lidar (MS-STIL) for occluded target detection. To solve the contradiction between high range resolution and deep depth of field, a fiber-optic beam, called ‘beam shunting’, is designed. In addition, we combine the deep-learning-based image inpainting algorithm with the MS-STIL to solve the problem of ineffective imaging when the target is obscured by a large area. Finally, the results of the simulated contrast experiments show that the range resolution is increased from 0.4 m to 0.1 m, and the new system is effective in detecting occluded targets.

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Section: Introductionmentioning

confidence: 99%

Occluded target detection of streak tube imaging lidar using image inpainting

Guo

Zhai

et al. 2021

Meas. Sci. Technol.

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“…In 2014, Tian developed a control and imaging process for the STIL using VB and MATLAB and carried out an experiment in which range resolution was better than 2 cm [21]. In 2014, Gao described a STIL used to detect short scale surface wave fields and demonstrated feasibility of this system by organizing real experiments in the East Sea and South China Sea [22]. In 2014, Jiang proposed an adaptive Gaussian-guided filter for noise removal and detail enhancement of stripe images and experimentally demonstrated its capacity to preserve edges and thin structure [23].…”

Section: Introductionmentioning

confidence: 99%

Design and modeling of three-dimensional laser imaging system based on streak tube

et al. 2017

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In the streak tube laser imaging system, there are two conflicts: the first is between high spatial resolution and wide field of view (FOV). The second is between high temporal resolution and deep depth of field (DOF). In this paper, a new non-scanning streak tube laser imaging system is presented. A microlens array with three different apertures is used to non-uniformly collect data from the image plane so the conflict between high spatial resolution and wide FOV is relieved and the detectable range of system is also increased. A remapping fiber optics with special design is used to realign the image plane on the two photocathodes of streak tubes to realize the operation mode of the two streak tubes so the conflict between high temporal resolution and deep DOF is relieved. The mathematical model of the entire imaging system is established based on the range equation. The structure parameters of the receiving optical system are optimized in order to achieve the optimal utilization rate of light energy. In the third, three simulated contrast experiments are organized, and the experiment results demonstrate that the imaging system proposed in this paper possesses properties of higher spatial resolution, wider FOV, higher temporal resolution, deeper DOF, and larger detectable range.

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“…Flash lidar cameras are laser-based imaging systems that combine elements of camera and lidar technology to create 3D images (Stettner et al 2005;Crosby and Kang 2011). Although flash lidar cameras have been used in a wide variety of applications (Stettner 2010), very little information is available regarding the capacity of these systems to image the water surface (Gao et al 2014;Ramond et al 2011). Improving understanding of the capabilities and limitations of flash lidar systems is necessary to effectively incorporate this technology into nearshore science and data collection efforts.…”

mentioning

confidence: 99%

3D measurements of water surface elevation using a flash lidar camera

O'Dea,

Spore,

Jernigan

et al. 2023

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This Coastal and Hydraulics Engineering technical note (CHETN) presents preliminary results from a series of tests conducted at the US Army Engineer Research and Development Center (ERDC), Coastal and Hydraulics Laboratory (CHL), Field Research Facility (FRF), in Duck, North Carolina, to explore the capabilities and limitations of the GSFL16K Flash Lidar Camera in nearshore science and engineering applications. The document summarizes the spatial coverage and density of data collected in three deployment scenarios and with a range of tuning parameters and provides guidance for future deployments and data-collection efforts.

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Experiments of ocean surface waves and underwater target detection imaging using a slit Streak Tube Imaging Lidar

Cited by 20 publications

References 7 publications

Occluded target detection of streak tube imaging lidar using image inpainting

Occluded target detection of streak tube imaging lidar using image inpainting

Design and modeling of three-dimensional laser imaging system based on streak tube

3D measurements of water surface elevation using a flash lidar camera

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