Towards High-Precision 3D Reconstruction and Modelling from Multi-Sensor Geospatial Data
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: 30 August 2025 | Viewed by 373
Special Issue Editors
Interests: photogrammetric 3D reconstruction and classification from terrestrial, aerial, and satellite imagery; point cloud processing, filtering, and classification; sensor calibration; accuracy analysis; improvement methods and applications of digital terrain and surface models
Special Issues, Collections and Topics in MDPI journals
Interests: image/lidar georeferencing and registration; geographic information science; computer vision; remote sensing; lasergrammetry; 3D city modeling; calibration; 3D reconstruction; semantic modeling; surface reconstruction and texturing; object detection; change detection
Interests: wildfire modeling; wildfire management; fire impact; land survey; engineering survey; construction survey; landslides; UAV; mapping; GIS; cadastre; topography; geodesy; cartography; remote sensing; photogrammetry; 3D modeling
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; 3D point cloud; photogrammetry; laser scanning; 3D modeling; camera calibration; UAV; image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The increasing demand for high-precision 3D models in urban planning, environmental monitoring, infrastructure management, and disaster response has driven rapid advancements in geospatial data acquisition and processing. Integrating multi-sensor technologies, including optical imagery, Lidar, and Radar, has opened new horizons for creating detailed, accurate, and semantically rich 3D representations of the physical world. These technologies provide complementary information, enabling the generation of high-resolution models that capture the environment's geometric and semantic aspects. Central to this progress is acquiring and processing georeferenced, radiometrically corrected, and structured data from different sources. Addressing challenges such as data fusion, sensor calibration, uncertainty estimation, and the efficient management of massive datasets is crucial for producing high-quality results in radiometry, geometry, and semantics. This Special Issue aims to push the boundaries of 3D modeling and to facilitate the development of practical, high-impact applications in real-world scenarios.
This Special Issue highlights 3D reconstruction and modeling advancements, focusing on multi-sensor data integration, data fusion, and large-scale dataset management. It brings together cutting-edge research, innovative methodologies, and practical applications to improve accuracy and expand the applicability of 3D models in urban planning, environmental monitoring, infrastructure management, change detection, and precision topographic mapping.
This Special Issue welcomes original research articles, analytical, conceptual, and experimental studies, and state-of-the-art contributions focusing on applying advanced 3D reconstruction and modeling techniques from various geospatial data sources. Research areas may include, but are not limited to, the following topics:
- Innovative data acquisition techniques;
- Multi-sensor data integration;
- Three-dimensional fusion of heterogeneous datasets;
- Sensor calibration;
- Advanced 3D reconstruction techniques;
- AI and ML for 3D reconstruction;
- Advanced point cloud processing algorithms;
- Novel methods for point cloud filtering, segmentation, classification, and registration;
- Three-dimensional modeling techniques;
- Semantic modeling;
- Surface texturing;
- Robust surface reconstruction techniques;
- High-precise 3D models;
- High-resolution DEM, DSM, and DOM derivation;
- Algorithms for detailed surface model derivation;
- Uncertainty quantification and accuracy assessment;
- Strategies for efficient and cost-effective data collection, handling, and storage.
Dr. Ana Maria Loghin
Dr. Bruno Vallet
Dr. Paul Sestraș
Dr. Valeria Ersilia Oniga
Guest Editors
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.
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Keywords
- data acquisition techniques
- sensor calibration
- multi-sensor integration
- data integration and fusion
- 3D geospatial data processing
- 3D reconstruction
- 3D modeling
- point cloud analysis
- surface reconstruction
- AI/ML
- semantic modeling
- 3D geospatial modeling
- change detection
- topographic mapping
- quantitative analyses and comparisons
- accuracy assessment
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