A Parameter-Free Calibration Process for a Scheimpflug Lidar for Volumetric Profiling

Luo, Laima; Chen, Xiang; Xu, Zhanpeng; Li, Shuo; Sun, Yaoran; He, Sailing

doi:10.2528/pier20120701

Cited by 11 publications

(2 citation statements)

References 37 publications

(42 reference statements)

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“…The paper focuses on S-lidars (S comes from Scheimpflug) as a relatively new class of atmospheric lidars, implementing non-traditional principles of system design [13][14][15] and actively using the latest achievements of optical instrumentation and modern nanophotonic technologies. They are successfully used for atmospheric aerosol monitoring [16], aquatic ecosystems profiling [17], detection of oil pollution [18], vertical atmospheric transmittance detection [19,20], trace gases and air pollution monitoring [21], volumetric profiling of targets [22] and in many other applications [23][24][25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Atmospheric CW S-Lidars with Si/InGaAs Arrays: Potentialities in Real Environment

Agishev

Wang

2023

Remote Sensing

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The article proposes a methodology for analyzing the performance of S-lidars (S comes from Scheimpflug) as a new class of environmental remote sensors operating under conditions of wide variability of optical weather and sky background brightness. The novelty of the problem statement, the methods used and the results obtained are determined by their application to laser sensing systems with unconventional design principles and the consequent need to revise the traditional ways of assessing their potential capabilities. The research method is based on a dimensionless-parametric approach, which allows comparing phenomena and systems of different scales and combining complementary characteristics and parameters. Effects of the dimensionless optical weather factor on lidar potential are shown being investigated under various environmental conditions, from the clear atmosphere through haze and mist to fog when probing in Vis/SWIR spectral bands and using Si/InGaAs detector arrays. It is shown exactly how and to what extent the significant differences in their spectral sensitivity and internal noise parameters are susceptible to the wide spectral and energy variability of the sky background brightness observed at very different angles to the Sun. A detailed analysis of the two most important influencing factors within the system, “S-Lidar instrument + Optical weather + External background source”, taking into account their wide variability, allowed us to describe their joint nonlinear influence and, thus, to anticipate the imposed limitations. The proposed dimensionless-parametric concept for predicting the potential capabilities of S-lidars with Si/InGaAs arrays is aimed at expanding applications of this rapidly developing class of remote sensors in a wide variety of environments.

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Section: Introductionmentioning

confidence: 99%

Atmospheric CW S-Lidars with Si/InGaAs Arrays: Potentialities in Real Environment

Agishev

Wang

2023

Remote Sensing

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“…Three-dimensional (3D) surface imaging can provide detailed depth information of the object under measurement, reflecting size, depth, detailed texture, and microscopic defects. Based on the optical imaging principle of choice, 3D imaging techniques can be classified into categories such as binocular vision [19,20], structured illumination [21,22], time of flight (TOF) [23], and LIDAR [24]. They have different specific advantages in 3D spatial resolution, measurement distance, imaging time, and fieldof-view (FOV) levels.…”

Section: Introductionmentioning

confidence: 99%

Portable 4d Snapshot Hyperspectral Imager for Fastspectral and Surface Morphology Measurements

Luo¹,

Lin²,

Xing³

et al. 2022

PIER

Self Cite

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A portable 4D snapshot hyperspectral imager (P4DS imager) with compact size, fast imaging time, low cost, and simple design is proposed and demonstrated. The key components of the system are a projector, a liquid crystal tunable filter (LCTF), and a camera. It has two operating modes depending on the set state of the LCTF: a 3D light measurement mode that produces a 3D point cloud reconstruction of an object and a hyperspectral imaging mode yielding spectral data. The camera imaging plane is the same for both operating modes allowing the collected spatial and spectral data to be directly fused into a 4D data set without post-processing. The P4DS imager has excellent performance with a spectral resolution of 10 nm, a spatial depth accuracy of 55.7 µm, and a total 4D imaging time of 0.8 s. 4D imaging experiments of three different samples, namely, a colored figurine, green broccoli, and a human face, are presented to demonstrate the efficiency and applicability of the system. Due to being cost-effective, portable, and good imaging performance, the proposed system is suitable for commercialization and mass production.

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Measurement of image sensor tilt based on amplitude and phase of image

Kobayashi

Kawamata

Nishi

2023

Opt Rev

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A Parameter-Free Calibration Process for a Scheimpflug Lidar for Volumetric Profiling

Cited by 11 publications

References 37 publications

Atmospheric CW S-Lidars with Si/InGaAs Arrays: Potentialities in Real Environment

Atmospheric CW S-Lidars with Si/InGaAs Arrays: Potentialities in Real Environment

Portable 4d Snapshot Hyperspectral Imager for Fastspectral and Surface Morphology Measurements

Measurement of image sensor tilt based on amplitude and phase of image

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