New Perspectives on 3D Point Cloud II
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 (20 June 2024) | Viewed by 11007
Special Issue Editor
Interests: photogrammetry; geomatics; surveying; topography; 3D modeling; reverse engineering; finite element analysis; geographic information system; cultural heritage; BIM; HBIM; VR/AR/XR
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A point cloud is a database of points that represent a physical object or environment. The application areas of 3D point cloud processing are expanding not only in the frame of geospatial analysis, but also in civil engineering and manufacturing, transport and city planning, construction, geology, ecology, forestry, mechanical engineering, and so on.
Their use is not only related to the creation of 3D meses or models of a surveyed object, but is expanding towards the possibility of classification, shape detection, and data extraction via automated procedures. The process of semantic segmentation and feature extraction can be used for preservation, the prediction of events, climate control, and as a basis for decision making and analysis.
This is a hot topic in research due to its innovation possibilities and multiple potential application fields, not to mention the problems that have not yet found a definitive solution (Poux, F., 2019). Furthermore, the possibility of using and developing open-source applications for data management and processing makes this topic a key area in the research.
This Special Issue aims to collect original papers regarding innovative processing and applications of 3D point clouds acquired from remote sensing sensors in different and new areas of research (i.e., forest, environment, cultural heritage, geology, maritime, architecture, climate analysis, and city modeling research). Great importance will be given to new, innovative research regarding open-source solutions, as well as to the creation and definition of automated/semi-automated procedures to collect, post-process, classify, and use 3D point clouds.
Topics should be strictly related to the aims of the Remote Sensing journal, with data results from different sensors of 3D reality-based surveys.
The papers suitable for this Special Issue must emphasize new perspectives and innovative methods on 3D point cloud acquisition, analysis, and post-processing, focusing on data extraction, semantic feature extraction, machine and deep learning algorithms, AI, the use of segmented point clouds for HBIM and BIM, and automated and semi-automated procedures. Importance should also be given to multi-temporal point clouds and the characterization of object dynamics.
Dr. Sara Gonizzi Barsanti
Guest Editor
Manuscript Submission Information
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Keywords
- point cloud acquisition (laser scanner, mono/stereo vision, panoramas, phone cameras, aerial and satellite images, indoor and narrow spaces)
- deep learning for segmentation/semantic representation and processing
- AI/ML/DL for point cloud processing and pattern recognition
- SCAN-to-BIM/HBIM
- data extraction/data analysis
- point cloud registration
- multi-temporal point clouds
- fusion of point clouds from different sensors
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