3D City Modeling and Observation Using Remote Sensing and Artificial Intelligence
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 1021
Special Issue Editors
Interests: 3D reconstruction; UAV intelligent remote sensing; 3D measurement; 3D real scene modelling; VR-AR application; deep learning algorithm; stereo visual system; laser scanning
Interests: geographic information systems (GIS); remote sensing; spatial modeling; and data mining for urban and environmental analysis and planning; mapping urban land cover (green space, impervious surfaces, etc.); monitoring forest health using fine resolution satellite imagery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
3D City modeling stands as a fundamental pillar for the burgeoning field of digital twin applications in modern cities. The evolution of cutting-edge remote sensing equipment, platforms, and methodologies has facilitated the acquisition of three-dimensional spatial data, making it an increasingly accessible process. Leveraging urban maps and three-dimensional datasets, the observation and analysis of critical urban objects in both static and dynamic states have been integrated into a variety of sectors, including urban planning, management, safety monitoring, and the burgeoning domain of smart cities.
While remote sensing offers the tools for modeling and observation, artificial intelligence (AI) has elevated these processes to new heights. AI's broad spectrum of object recognition and execution of complex tasks is characterized by its efficiency and reliability. The proliferation of mobile remote sensing platforms, such as drones and laser scanners, has democratized low-cost, automated urban remote sensing monitoring.
The evolution of 3D modeling techniques from various optimized models of multi-view geometry reconstruction is now progressing towards methods based on neural networks, such as deep learning for stereo reconstruction and neural radiance fields.
The quest to integrate more sophisticated AI algorithms into the realms of modeling and observational data analysis has emerged as a pivotal area of interest. The ongoing advancements in SOTA methods have not only validated this trend but have also set the stage for a new era of innovation in the field of 3D modeling.
This Special Issue aims at studies covering remote sensing platforms, systems,new algorithms, and the latest experimental datasets. Relevant research can contribute to enhancing the quality, efficiency, and application level of 3D city modeling and observational data analysis. This special issue includes, but is not limited to, the following topics:
- Intelligent mobile measurement platform
- 3D building modelling
- 3D modelling with multi-source space data
- Object recognition using AI algorithm
- City space plane & management
- UAV smart task plan
- Realtime data processing
- Neural network 3D algorithm
- Laser scanning data processing
- City objects datasets
Dr. Zheng Ji
Dr. Brian Alan Johnson
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.
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.
Keywords
- 3D city modlling
- city observation
- AI algorithm
- mobile measurement platform
- laser scanning data processing
- object recognition and positioning
- neural network for 3D reconstruction
- multi-source space data processing
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