UAVs for Photogrammetry, 3D Modeling, Obtrusive Light and Sky Glow Measurements

A special issue of Drones (ISSN 2504-446X).

Deadline for manuscript submissions: 16 October 2024 | Viewed by 4841

Special Issue Editors


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Guest Editor
Department of Geodesy, Faculty of Civil and Environmental Engineering, Gdansk Technical University, Narutowicza St. 11/12, Gdansk, Poland
Interests: unmanned aerial vehicle technology; autonomous navigation; neural networks; non-GNSS navigation; photogrammetry; real-time photogrammetry; computer vision
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Geodesy, Faculty of Civil and Environmental Engineering, Gdansk Technical University, Narutowicza St. 11/12, 80-233 Gdansk, Poland
Interests: photogrammetry; remote sensing; light pollution; obtrusive light and sky glow; UAV

Special Issue Information

Dear Colleagues,

The Special Issue focuses on new trends in photogrammetry and remote sensing with UAVs. In recent years, there have been a lot of new developments strictly concerning UAVs, but also measurements from these devices in general. New sensors, procedures, and algorithms are being developed which improve the quality of photogrammetric studies, photos, and 3D models. Many new algorithms use neural networks, while continuous miniaturization allows achieving an increasingly better accuracy of measurements using small sensors mounted on UAVs. New measurement procedures are also being developed, and the number of UAV applications is constantly increasing especially in environmental and civil engineering. This Special Issue will gather all types of solutions—technical, procedural, and algorithmic—aiming to improve the quality of photogrammetric studies, 3D models, and remote sensing with UAVs. In addition, we invite papers on new trends in artificial light measurements and photogrammetry at night. Night measurements with UAVs, especially those toward light pollution measurements, are becoming important from an environmental point of view, and in this issue, we will showcase new developments in this area.

Dr. Pawel Burdziakowski
Dr. Katarzyna Bobkowska
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. Drones is an international peer-reviewed open access monthly 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 2600 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

  • unmanned aerial vehicles (UAVs)—technical solutions for remote sensing
  • UAV photogrammetry—procedures, technical solutions
  • UAVs in civil engineering
  • UAVs in environmental engineering
  • UAV image georeferencing accuracy
  • UAV image quality enhancement
  • mobile GNSS RTK camera positioning accuracy
  • neural networks for UAV photogrammetry and remote sensing
  • sensors for UAV measurements
  • algorithms for increasing 3D model quality
  • obstructive light pollution UAVs measurements
  • UAV photogrammetry at night
  • UAV obtrusive light and sky glow measurements
  • UAV artificial light measurements
  • UAV probes for environmental measurements
  • 3D mapping accuracy

Published Papers (2 papers)

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Research

18 pages, 50277 KiB  
Article
Generation of Virtual Ground Control Points Using a Binocular Camera
by Ariel Vazquez-Dominguez, Andrea Magadán-Salazar, Raúl Pinto-Elías, Jorge Fuentes-Pacheco, Máximo López-Sánchez and Hernán Abaunza-González
Drones 2024, 8(5), 195; https://doi.org/10.3390/drones8050195 - 12 May 2024
Viewed by 664
Abstract
This paper presents a methodology for generating virtual ground control points (VGCPs) using a binocular camera mounted on a drone. We compare the measurements of the binocular and monocular cameras between the classical method and the proposed one. This work aims to decrease [...] Read more.
This paper presents a methodology for generating virtual ground control points (VGCPs) using a binocular camera mounted on a drone. We compare the measurements of the binocular and monocular cameras between the classical method and the proposed one. This work aims to decrease human processing times while maintaining a reduced root mean square error (RMSE) for 3D reconstruction. Additionally, we propose utilizing COLMAP to enhance reconstruction accuracy by solely utilizing a sparse point cloud. The results demonstrate that implementing COLMAP for pre-processing reduces the RMSE by up to 16.9% in most cases. We prove that VGCPs further reduce the RMSE by up to 61.08%. Full article
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24 pages, 10632 KiB  
Article
Automatic Real-Time Creation of Three-Dimensional (3D) Representations of Objects, Buildings, or Scenarios Using Drones and Artificial Intelligence Techniques
by Jorge Cujó Blasco, Sergio Bemposta Rosende and Javier Sánchez-Soriano
Drones 2023, 7(8), 516; https://doi.org/10.3390/drones7080516 - 5 Aug 2023
Viewed by 3448
Abstract
This work presents the development and evaluation of a real-time 3D reconstruction system using drones. The system leverages innovative artificial intelligence techniques in photogrammetry and computer vision (CDS-MVSNet and DROID-SLAM) to achieve the accurate and efficient reconstruction of 3D environments. By integrating vision, [...] Read more.
This work presents the development and evaluation of a real-time 3D reconstruction system using drones. The system leverages innovative artificial intelligence techniques in photogrammetry and computer vision (CDS-MVSNet and DROID-SLAM) to achieve the accurate and efficient reconstruction of 3D environments. By integrating vision, navigation, and 3D reconstruction subsystems, the proposed system addresses the limitations of existing applications and software in terms of speed and accuracy. The project encountered challenges related to scheduling, resource availability, and algorithmic complexity. The obtained results validate the applicability of the system in real-world scenarios and open avenues for further research in diverse areas. One of the tests consisted of a one-minute-and-three-second flight around a small figure, while the reconstruction was performed in real time. The reference Meshroom software completed the 3D reconstruction in 136 min and 12 s, while the proposed system finished the process in just 1 min and 13 s. This work contributes to the advancement in the field of 3D reconstruction using drones, benefiting from advancements in technology and machine learning algorithms. Full article
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