Intelligent Processing of 3D Point Clouds for Scene Understanding and Modelling
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (31 March 2025) | Viewed by 1952
Special Issue Editors
Interests: geoinformation; 3D modelling; photogrammetry; 3D point cloud
Special Issues, Collections and Topics in MDPI journals
Interests: planetary remote sensing; 3D point cloud processing
Interests: photogrammetry; 3D mapping and modelling; UAV route planning; point cloud analysis
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue titled “Intelligent Processing of 3D Point Clouds for Scene Understanding and Modelling” in Remote Sensing, an international, peer-reviewed, open access journal focused on the science and applications of remote sensing technology. For more information about the journal, please visit https://www.mdpi.com/journal/remotesensing.
Point clouds acquired using Light Detection and Ranging (LiDAR) technology or photogrammetric methods have become important 3D data with high density and high precision, facilitating the understanding and modelling of 3D environments. Point clouds provide rich, multi-dimensional spatial information, including attributes such as intensity, colour, and multiple echoes. However, despite their potential, point clouds are often characterised by high complexity, disorder, and massive scale, posing significant challenges in data processing, interpretation, and management.
In this Special Issue, we aim to highlight the latest research in intelligent methods for LiDAR point cloud processing, including the integration of deep learning and artificial intelligence techniques, to address the challenges associated with 3D scene understanding and digital surface modelling. This Special Issue seeks to feature cutting-edge solutions that focus on the effective and efficient extraction of meaningful information from point clouds, such as semantic segmentation, object recognition, and the modelling of urban, natural and planetary environments.
This Special Issue aims to focus on the state-of-the-art methodologies and applications in 3D point cloud processing for scene understanding and modelling. Its scope aligns with the broader goals of remote sensing research, highlighting innovative approaches in deep learning, multi-modal data fusion, 3D visual grounding, and intelligent development that push the boundaries of geographic mapping and 3D model generation.
We invite submissions on a variety of topics, including, but not limited to, the following:
Semantic/Instance segmentation of 3D point clouds;
AI-driven 3D object/geometric primitive detection;
Multi-sensor/Multi-platform data integration;
Point cloud registration;
Intelligent applications of point clouds in urban modelling/forest inventory/environmental monitoring/planetary exploration;
3D visual grounding;
Advanced SLAM (Simultaneous Localization and Mapping) with LiDAR;
Deep learning algorithms for large-scale space-borne LiDAR processing;
Generative 3D modelling based on point clouds.
Dr. Yuan Li
Dr. Rong Huang
Dr. Shuhang Zhang
Dr. Linfu Xie
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
- LiDAR
- point cloud processing
- deep learning
- artificial intelligence
- 3D mapping and modelling
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
