3D Urban Modeling by Fusion of Lidar Point Clouds and Optical Imagery
Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 29546
The journal Remote Sensing (ISSN 2072-4292) is currently running a Special Issue entitled “3D Urban Modeling by Fusion of Lidar Point Clouds and Optical Imagery”. Dr. Csaba Benedek is serving as Guest Editor for this issue.
Over the last decade, lidar (light detection and ranging) sensors have become indispensable tools in many applications fields of 3D urban scene modeling, such as virtual city reconstruction, road quality assessment, traffic analysis and control, cultural heritage documentation or evaluating the energy management of buildings. On the positive side, lidars are able to rapidly collect very accurate 3D data from large areas, and they can be integrated into various platforms, including aerial mapping systems (ALS), static terrestrial scanners (TLS), and mobile laser scanning (MLS) devices. However, by using the current technologies, we should deal with the trade-off between the spatial and temporal resolution of the recorded data: While real-time scanners, such as rotating multi-beam Lidar sensors provide high frame-rate measurement sequences, the individual point cloud frames are notably sparse, making high-level scene analysis definitely challenging. On the other hand, lidar-based aerial or terrestrial mapping systems fulfil a time demanding sequential scanning process of the environment while the sensor is continuously moving. Therefore, the resulting high-density point clouds are affected by registration artefacts, while all dynamic scene objects appear as phantom-like long-drawn, distorted structures in the recorded scene map. In addition, since laser does not provide color information, the visualization of lidar point clouds or lidar-based surface models demands accessory data sources.
Fusing lidar data with high-resolution optical images offers various possible ways to cope with the limitations of purely lidar-based or purely image-based methods. Both early and late fusion approaches, application of geometric, probabilistic or machine learning techniques are frequently taken into consideration and often lead to a significantly improved performance. Since the technology side is rapidly improving, the development of new efficient fusion algorithms is timely and required, which is the topic that serves as the focus of this Special Issue. High-quality, unpublished submissions that address one or more of the following topics are solicited:
- Lidar–camera registration;
- Virtual city model generation;
- 3D building reconstruction;
- Cultural heritage scene reconstruction;
- Dynamic urban scene analysis, event monitoring, and unusual event detection;
- Urban traffic analysis and control;
- Road quality assessment, surveys of road marks and traffic signs, urban green area estimation;
- Fusion of aerial and terrestrial lidar and image
Dr. Csaba Benedek
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. 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 2700 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.
- 3D urban scene modeling
- Point clouds
- Optical imagery
- Image fusion