Point Cloud Data Analysis and Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 145
Special Issue Editors
Interests: photogrammetry; GIS; remote sensing; lidar
Interests: GIS and mapping; applied remote sensing; spatial analysis; large-scale mapping; 3D GIS; LiDAR mapping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the advancement of technologies and methods in point cloud data acquisition through laser scanning, photogrammetry, and even RADAR technology, coupled with the development of analysis methods, point clouds have become an important and essential geographic data representing real-world objects and environments. With its rich information, point cloud data have been used in many applications in fields like surveying, forestry, geospatial digital twins, digital surface modeling, robotics, 3D city modeling applications, and autonomous driving. However, point cloud data analyses still face challenges in data processing, interpretation, and management due to its un-ordered data structure, large data volume, and data inconsistency across platforms.
This Special Issue aims to highlight the latest research in point cloud processing and analysis, including data filtering, semantic segmentation, object recognition, point cloud registration, and data fusion to address the challenges in 3D scene understanding, geospatial digital twins modeling, and environment re-structuring.
This Special Issue focuses on the state-of-the-art methodologies and applications in 3D point cloud processing for scene understanding and modeling. Its scope aligns with the broader goals of remote sensing research, highlighting pioneering approaches to point segmentation, multi-modal data fusion, and modeling.
We invite submissions on a variety of topics of point cloud processing, including but not limited to the following:
- Segmentation of point clouds;
- Object detection;
- Multi-sensor/multi-platform data fusion;
- Point cloud registration;
- Innovative applications of point clouds in digital twin, forest inventory, and environmental monitoring;
- Large-scale point clouds processing and management.
Dr. Ruijin Ma
Prof. Dr. Tarig Ali
Dr. Maolin Chen
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
- point clouds processing
- geospatial digital twin modeling
- data fusion
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