Unmanned Aerial Vehicles for Photogrammetry

Dear Colleagues,

This Special Issue will focus on new UAV photogrammetry trends. Photogrammetry based on unmanned aerial vehicles (UAV photogrammetry) due to the intensive development of UAV technology (fixed-wings, multi-rotors) and computer vision algorithms is currently a very popular technology. It finds applications in many areas. Based on images obtained from a low altitude, it is possible to generate dense point clouds, very high-resolution digital terrain models, digital surface models, and true-orthophotos. In geometric terms, most UAV photogrammetry research problems are similar to those in classical photogrammetry. However, other issues related to navigation, image matching, and radiometric quality of images are new. UAV photogrammetry introduces new possibilities for mapping areas with very high resolution. New research trends can also be seen in GNSS/IMU receivers and stereo imaging integration for UAV hybrid navigation.

The possibilities of modern photogrammetric software, which, thanks to the intensive development of structure from motion algorithms, allow you to implement many photogrammetric studies, are also noteworthy. Such technology is based not only on images obtained in the visible range but also multispectral images. Problems related to the implementation of deep learning methods for camera calibration, image orientation, bundle adjustment, and dense point cloud classification are also interesting research issues.

We seek submissions reviewing trends of UAV photogrammetry in, but not limited to, the fields of image quality, large area mapping, powerline inspection, positioning accuracy, and deep learning methods in matching images. Reviews on the trends of the quality control of UAV photogrammetric products, integration of on-board UAV photogrammetric sensors, and new multi-image matching methods are also welcome. In addition, we plan to include a review of UAV photogrammetry applications in areas such as monitoring of engineering investments, heritage and BIM based on UAV photogrammetric data, and detection and classification of objects based on images obtained from a low altitude.

Dr. Damian Wierzbicki
Dr. Kamil Krasuski
Guest Editors

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