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) | Viewed by 3599
Special Issue Editors
Interests: airborne and close-range photogrammetry; geometry and semantic analysis; terrestrial and mobile laser scanning
Special Issues, Collections and Topics in MDPI journals
Interests: close-range photogrammetry; UAV: sensors and applications; terrestrial and mobile laser scanning; optical 3D measurement techniques
Interests: artificial intelligence as a counterpart to traditional photogrammetric approaches; remote sensing in search and rescue operations; calibration and validation of heterogenous sensor concepts and their accuracy/quality
Special Issues, Collections and Topics in MDPI journals
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
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Keywords
- 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
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