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Special Issue "Sensing Technologies and Applications in Infrared and Visible Imaging"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 15 February 2023 | Viewed by 1488

Special Issue Editors

Dr. Yanpeng Cao
E-Mail Website
Guest Editor
School of Mechanical Engineering, Zhejiang University, Hangzhou 310023, China
Interests: infrared thermography; computer vision; intelligent transportation; sensor fusion; visual inspection; non-destructive testing
Prof. Dr. Xin Li
E-Mail Website
Guest Editor
School of Electrical Engineering & Computer Science, and Center for Computation & Technology, Louisiana State University, Baton Rouge, LA 70808, USA
Interests: computer vision; robotic vision; 3D reconstruction; real-time AI algorithms for virtual reality (VR); computer-aided design; medical image analysis
Dr. Christel-Loic Tisse
E-Mail Website
Guest Editor
Huawei Sensor Application Innovation Lab, 32 Rue Gustave Eiffel, 38000 Grenoble, France
Interests: embedded imaging systems; computer vision; multimodal biometric system; medical image analysis; thermal image sensors

Special Issue Information

Dear Colleagues,

The recent advances in multispectral imaging technologies will facilitate the development of better-performing optical sensing, processing, and analysis applications. For instance, visible images can provide abundant texture details with high spatial resolutions which are consistent with human visual perception. In contrast, thermal/infrared sensors may provide valuable radiation information of targets with high contrast to surroundings under different lighting conditions. Therefore, it is desirable to develop multisensor hardware designs, on and off chip digital image processing methods, and multispectral feature fusion schemes to fully utilize thermal radiation information in infrared images and detailed texture information in visible images.

This Special Issue will highlight the latest advances in infrared and visible sensing technologies and applications. The included articles will emphasize the fusion of complementary visible and thermal data, theoretical to experimental demonstration, and applications of the latest advances in multispectral imaging research, and innovative sensing and imaging applications in medical diagnosis, security surveillance, autonomous driving, and industrial inspection.

Dr. Yanpeng Cao
Prof. Dr. Xin Li
Dr. Christel-Loic Tisse
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. Sensors 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

  • Advances in multispectral imaging
  • Computational imaging
  • Multisensor fusion
  • Thermal imaging
  • Medical diagnosis
  • Security surveillance
  • Autonomous driving
  • Industrial inspection
  • Non-destructive testing

Published Papers (3 papers)

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Research

Article
Seamless Navigation, 3D Reconstruction, Thermographic and Semantic Mapping for Building Inspection
Sensors 2022, 22(13), 4745; https://doi.org/10.3390/s22134745 - 23 Jun 2022
Viewed by 222
Abstract
We present a workflow for seamless real-time navigation and 3D thermal mapping in combined indoor and outdoor environments in a global reference frame. The automated workflow and partly real-time capabilities are of special interest for inspection tasks and also for other time-critical applications. [...] Read more.
We present a workflow for seamless real-time navigation and 3D thermal mapping in combined indoor and outdoor environments in a global reference frame. The automated workflow and partly real-time capabilities are of special interest for inspection tasks and also for other time-critical applications. We use a hand-held integrated positioning system (IPS), which is a real-time capable visual-aided inertial navigation technology, and augment it with an additional passive thermal infrared camera and global referencing capabilities. The global reference is realized through surveyed optical markers (AprilTags). Due to the sensor data’s fusion of the stereo camera and the thermal images, the resulting georeferenced 3D point cloud is enriched with thermal intensity values. A challenging calibration approach is used to geometrically calibrate and pixel-co-register the trifocal camera system. By fusing the terrestrial dataset with additional geographic information from an unmanned aerial vehicle, we gain a complete building hull point cloud and automatically reconstruct a semantic 3D model. A single-family house with surroundings in the village of Morschenich near the city of Jülich (German federal state North Rhine-Westphalia) was used as a test site to demonstrate our workflow. The presented work is a step towards automated building information modeling. Full article
(This article belongs to the Special Issue Sensing Technologies and Applications in Infrared and Visible Imaging)
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Article
ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation
Sensors 2022, 22(9), 3414; https://doi.org/10.3390/s22093414 - 29 Apr 2022
Viewed by 400
Abstract
Maintenance has a major impact on the financial plan of road managers. To ameliorate road conditions and reduce safety constraints, distress evaluation methods should be efficient and should avoid being time consuming. That is why road cadastral catalogs should be updated periodically, and [...] Read more.
Maintenance has a major impact on the financial plan of road managers. To ameliorate road conditions and reduce safety constraints, distress evaluation methods should be efficient and should avoid being time consuming. That is why road cadastral catalogs should be updated periodically, and interventions should be provided for specific management plans. This paper focuses on the setting of an Unmanned Ground Vehicle (UGV) for road pavement distress monitoring, and the Rover for bituminOus pAvement Distress Survey (ROADS) prototype is presented in this paper. ROADS has a multisensory platform fixed on it that is able to collect different parameters. Navigation and environment sensors support a two-image acquisition system which is composed of a high-resolution digital camera and a multispectral imaging sensor. The Pavement Condition Index (PCI) and the Image Distress Quantity (IDQ) are, respectively, calculated by field activities and image computation. The model used to calculate the IROADS index from PCI had an accuracy of 74.2%. Such results show that the retrieval of PCI from image-based approach is achievable and values can be categorized as “Good”/“Preventive Maintenance”, “Fair”/“Rehabilitation”, “Poor”/“Reconstruction”, which are ranges of the custom PCI ranting scale and represents a typical repair strategy. Full article
(This article belongs to the Special Issue Sensing Technologies and Applications in Infrared and Visible Imaging)
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Article
Vertical Cracks Excited in Lock-in Vibrothermography Experiments: Identification of Open and Inhomogeneous Heat Fluxes
Sensors 2022, 22(6), 2336; https://doi.org/10.3390/s22062336 - 17 Mar 2022
Viewed by 550
Abstract
Lock-in vibrothermography has proven to be very useful to characterizing kissing cracks producing ideal, homogeneous, and compact heat sources. Here, we approach real situations by addressing the characterization of non-compact (strip-shaped) heat sources produced by open cracks and inhomogeneous fluxes. We propose combining [...] Read more.
Lock-in vibrothermography has proven to be very useful to characterizing kissing cracks producing ideal, homogeneous, and compact heat sources. Here, we approach real situations by addressing the characterization of non-compact (strip-shaped) heat sources produced by open cracks and inhomogeneous fluxes. We propose combining lock-in vibrothermography data at several modulation frequencies in order to gather penetration and precision data. The approach consists in inverting surface temperature amplitude and phase data by means of a least-squares minimization algorithm without previous knowledge of the geometry of the heat source, only assuming knowledge of the vertical plane where it is confined. We propose a methodology to solve this ill-posed inverse problem by including in the objective function penalty terms based on the expected properties of the solution. These terms are described in a comprehensive and intuitive manner. Inversions of synthetic data show that the geometry of non-compact heat sources is identified correctly and that the contours are rounded due to the penalization. Inhomogeneous smoothly varying fluxes are also qualitatively retrieved, but steep variations of the flux are hard to recover. These findings are confirmed by inversions of experimental data taken on calibrated samples. The proposed methodology is capable of identifying heat sources generated in lock-in vibrothermography experiments. Full article
(This article belongs to the Special Issue Sensing Technologies and Applications in Infrared and Visible Imaging)
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