Special Issue "Techniques and Applications of UAV-Based Photogrammetric 3D Mapping"
Deadline for manuscript submissions: 28 February 2022.
Interests: image processing; photogrammetry mapping and remote sensing
Interests: image matching; SfM-based aerial triangulation; 3D reconstruction
Interests: remote sensing of UAVs and satellites; photogrammetry and computer vision; image and graphics processing; simultaneous localization and mapping (SLAM); deep learning and artificial intelligence
3D mapping plays a critical role in varying photogrammetric applications. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources due to the high flexibility of UAV platforms and the extensive usage of low-cost cameras. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. Recent years have been witnessing the explosive development of UAV-based photogrammetric 3D mapping techniques and their wide applications from traditional surveying and mapping to other related fields, e.g., automatic driving, structure inspection.
The aim of this special issue focuses on the techniques for UAV-based 3D mapping, especially for trajectory planning for UAV data acquisition in complex environments, recent algorithms for feature matching of aerial-ground images, SfM and SLAM for efficient image orientation, as well as the usage of DL techniques in the 3D mapping pipeline, and the applications of UAV-based 3D mapping, such as crack detection of civil structures, automatic inspection of transmission lines, precision management of crops, and archaeological and cultural heritage, and so on.
Dr. Wanshou Jiang
Dr. San Jiang
Dr. Xiongwu Xiao
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 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. Remote Sensing 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.
- trajectory planning
- aerial triangulation
- dense Image matching
- 3D mapping
- structure from Motion
- simultaneous localization and mapping
- deep learning