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Applied Sciences
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Advanced Studies in Optical Imaging and Sensing
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Advanced Studies in Optical Imaging and Sensing

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

Deadline for manuscript submissions: 30 May 2024 | Viewed by 3453

Special Issue Editors

Dr. Haiyang Zhang

E-Mail Website
Guest Editor
School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
Interests: lidar 3D imaging; laser coherent detection and imaging; target detection and recognition
Dr. Bin Zhao

E-Mail Website
Guest Editor
Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China
Interests: laser coherent detection; coherent Lidar; linear frequency modulated laser pulse compression measurement; optical phase-locked loop

Special Issue Information

Dear Colleagues,

Optical imaging and sensing technologies constitute fundamental tools for the development of many fields. Laser and microwave radar technologies have received extensive attention due to their advantages in achieving high-resolution detection and imaging.

In this Special Issue, we are interested in publishing original articles and reviews that discuss Laser radar and microwave radar and key technologies. We welcome relevant contributions on issues including, but not limited to:

  • Three-dimensional Lidar scene perception and reconstruction;
  • Laser coherence detection and imaging;
  • Target detection and recognition;
  • Laser radar 3D point cloud imaging.

Dr. Haiyang Zhang
Dr. Bin Zhao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • laser radar
  • microwave radar
  • high-resolution detection and imaging
  • optical sensing
  • laser 3D imaging
  • photon-counting lidar
  • single-photon imaging
  • coherent lidar

Published Papers (3 papers)

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Research

17 pages, 9172 KiB  
Article
Dual-Channel Mapping–Gas Column Concentration Inversion Method Based on Multispectral Imaging
by Ninghao Shi, Yingze Zhao, Baixuan Zhao, Kaifeng Zheng, Yupeng Chen, Yuxin Qin, Weibiao Wang, Jinguang Lv and Jingqiu Liang
Appl. Sci. 2024, 14(8), 3139; https://doi.org/10.3390/app14083139 - 09 Apr 2024
Viewed by 333
Abstract
Infrared multispectral imaging technology can achieve the long-distance, wide-ranging and fast detection of target gas, and has been widely used in the fields of dangerous-gas detection and environmental monitoring. However, due to the difficulty in acquiring background radiation as well as atmospheric disturbance [...] Read more.
Infrared multispectral imaging technology can achieve the long-distance, wide-ranging and fast detection of target gas, and has been widely used in the fields of dangerous-gas detection and environmental monitoring. However, due to the difficulty in acquiring background radiation as well as atmospheric disturbance and noise interference in the detection process, the quantitative detection of gas concentration has become a difficult problem to solve. Therefore, this paper proposes an inversion method for gas column concentration based on infrared multispectral imaging technology. Firstly, infrared background radiation images of the non-target gas absorption spectrum band were collected and converted into background radiation images of the target gas absorption spectrum band according to the dual-channel mapping relationship. Then, combined with the gas radiation images of the target gas absorption spectrum band, the column concentration distribution of the gas was obtained by using the measured calibration relationship between absorbance and column concentration. Experiments of gas detection in different environments were carried out, and the column concentration distribution of the target gas was inverted using this method; the results showed that the average relative error of the inversion of the gas column concentration was 4.84%, which enables the quantitative detection of gas column concentration in a complex environment. Full article
(This article belongs to the Special Issue Advanced Studies in Optical Imaging and Sensing)
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16 pages, 4572 KiB  
Article
Comparison of Deep Transfer Learning Models for the Quantification of Photoelastic Images
by Seongmin Kim, Boo Hyun Nam and Young-Hoon Jung
Appl. Sci. 2024, 14(2), 758; https://doi.org/10.3390/app14020758 - 16 Jan 2024
Viewed by 476
Abstract
In the realm of geotechnical engineering, understanding the mechanical behavior of soil particles under external forces is paramount. The main topic of this study is how to use deep learning image analysis techniques, especially transfer learning models like VGG, ResNet, and DenseNet, to [...] Read more.
In the realm of geotechnical engineering, understanding the mechanical behavior of soil particles under external forces is paramount. The main topic of this study is how to use deep learning image analysis techniques, especially transfer learning models like VGG, ResNet, and DenseNet, to look at response images from models of reflective photoelastic soil particles. We applied a total of six transfer learning models to analyze photoelastic response images. We then compared the validation results with existing quantitative evaluation techniques. The researchers identified the most outstanding transfer learning model by comparing the validation results with existing quantitative evaluation techniques using performance metrics such as the coefficient of determination, mean average error, and root mean square error. Full article
(This article belongs to the Special Issue Advanced Studies in Optical Imaging and Sensing)
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12 pages, 3151 KiB  
Article
Parafoveal and Perifoveal Accommodation Response to Defocus Changes Induced by a Tunable Lens
by Najnin Sharmin, Petros Papadogiannis, Dmitry Romashchenko, Linda Lundström and Brian Vohnsen
Appl. Sci. 2023, 13(15), 8645; https://doi.org/10.3390/app13158645 - 27 Jul 2023
Viewed by 1753
Abstract
The accommodative response of the human eye is predominantly driven by foveal vision, but reacts also to off-foveal stimuli. Here, we report on monocular accommodation measurements using parafoveal and perifoveal annular stimuli centered around the fovea and extending up to 8° radial eccentricity [...] Read more.
The accommodative response of the human eye is predominantly driven by foveal vision, but reacts also to off-foveal stimuli. Here, we report on monocular accommodation measurements using parafoveal and perifoveal annular stimuli centered around the fovea and extending up to 8° radial eccentricity for young emmetropic and myopic subjects. The stimuli were presented through a sequence of random defocus step changes induced by a pupil-conjugated tunable lens. A Hartmann–Shack wavefront sensor with an infrared beacon was used to measure real-time changes in ocular aberrations up to and including the fourth radial order across a 3 mm pupil at 20 Hz. Our findings show a significant reduction in accommodative response with increased radial eccentricity. Full article
(This article belongs to the Special Issue Advanced Studies in Optical Imaging and Sensing)
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