Journal Browser

Journal Browser

Special Issue "UAV-Based Photogrammetry: Current Systems and Methods"

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

Deadline for manuscript submissions: closed (30 June 2019).

Special Issue Editors

Prof. Dr.-Ing. Markus Gerke
Guest Editor
Technical University of Braunschweig, Germany, Institut für Geodäsie und Photogrammetrie, Bienroder Weg 81, D-38106 Braunschweig, Germany
Interests: airborne and close-range photogrammetry: geometry and semantic analysis; terrestrial and mobile laser scanning
Special Issues and Collections in MDPI journals
Prof. Dr.-Ing. Heinz-Jürgen Przybilla
Guest Editor
Bochum University of Applied Sciences, Lab for Photogrammetry, Lennershofstr. 140, D-44801 Bochum, Germany
Interests: close-range photogrammetry; UAV: sensors and applications; terrestrial and mobile laser scanning; optical 3D measurement techniques
Dipl.-Ing. Henry Meißner
Guest Editor
German Aerospace Center (DLR), Institute of Optical Sensor Systems, Rutherfordstr. 2, D-12489 Berlin, Germany
Interests: computer vision; photogrammetry; image quality analysis and enhancement; sensors and applications; 3D reconstruction

Special Issue Information

Dear Colleagues,

Unmanned aerial vehicles (UAVs) are employed in many scientific disciplines. One major field where UAVs are utilized is in photogrammetry and remote sensing. That is, optical (passive) or active sensors are used to capture data (e.g., images) from objects with the aim of deriving geometric and/or semantic information from them. Applications range from topographic mapping in different scales to object inspection, aiming at high geometric quality. Currently, new opportunities arise, but also new challenges. The reasons for this are the advent of high-resolution optical sensors, which are close to metric cameras. Furthermore, lightweight laser scanning technology, combined with sophisticated sensor positioning hardware is maturing. All these developments are affecting processing workflows and methods. In this Special Issue, we call for papers which document the development or testing of those photogrammetric systems. Well-described and evaluated applications are also invited.

Prof. Dr.-Ing. Markus Gerke
Prof. Dr.-Ing. Heinz-Jürgen Przybilla
Dipl.-Ing. Henry Meißner
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 papers will be 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 2000 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.


  • metric cameras for UAVs
  • sensor and image quality
  • multispectral cameras
  • geometric quality (aerotriangulation, point cloud, ortho-image, etc.)
  • image flight configuration
  • UAV-based laserscanning
  • additional UAV-sensors: influences on flight-control (sense and avoid), navigation, and sensor-orientation

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:


Open AccessArticle
An Assembled Detector Based on Geometrical Constraint for Power Component Recognition
Sensors 2019, 19(16), 3517; - 11 Aug 2019
The intelligent inspection of power lines and other difficult-to-access structures and facilities has been greatly enhanced by the use of Unmanned Aerial Vehicles (UAVs), which allow inspection in a safe, efficient, and high-quality fashion. This paper analyzes the characteristics of a scene containing [...] Read more.
The intelligent inspection of power lines and other difficult-to-access structures and facilities has been greatly enhanced by the use of Unmanned Aerial Vehicles (UAVs), which allow inspection in a safe, efficient, and high-quality fashion. This paper analyzes the characteristics of a scene containing power equipment and the operation mode of UAVs. A low-cost virtual scene is created, and a training sample for the power-line components is generated quickly. Taking a vibration-damper as the main object, an assembled detector based on geometrical constraint (ADGC) is proposed and is used to analyze the virtual dataset. The geometric positional relationship is used as the constraint, and the Faster Region with Convolutional Neural Network (R-CNN), Deformable Part Model (DPM), and Haar cascade classifiers are combined, which allows the features of different classifiers, such as contour, shape, and texture to be fully used. By combining the characteristics of virtual data and real data using UAV images, the power components are detected by the ADGC. The result produced by the detector with relatively good performance can help expand the training set and achieve a better detection model. Moreover, this method can be smoothly transferred to other power-line facilities and other power-line scenarios. Full article
(This article belongs to the Special Issue UAV-Based Photogrammetry: Current Systems and Methods)
Show Figures

Figure 1

Back to TopTop