Intelligent Point Cloud Processing, Sensing and Understanding (Volume II)
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 8209
Special Issue Editors
Interests: computer vision and machine learning; image/video processing
Special Issues, Collections and Topics in MDPI journals
Interests: medical image processing; deep learning; computer graphics and visualization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the previous Special Issue “Intelligent Point Cloud Processing, Sensing and Understanding” (https://www.mdpi.com/journal/sensors/special_issues/IX18KRFUQ1), we are pleased to announce the next in the series, entitled “Intelligent Point Cloud Processing, Sensing and Understanding (Volume II)”.
Point clouds are deemed to be one of the foundational pillars in representing the 3D digital world, despite irregular topologies among discrete points. Recently, the advancements in sensor technologies that acquire point cloud data for flexible and scalable geometric representation have paved the way for the development of new ideas, methodologies, and solutions in countless remote sensing applications. State-of-the-art sensors are capable of capturing and describing objects in a scene by using dense point clouds from various platforms (satellites, aerial, UAVs, vehicle-borne, backpacks, handheld, and static terrestrial), perspectives (nadir, oblique, and side view), spectra (multispectral), and granularity (point density and completeness). Meanwhile, the ever-expanding application areas of point cloud processing have already covered not only conventional domains in geospatial analysis, but also include manufacturing, civil engineering, construction, transportation, ecology, forestry, mechanical engineering, and so on.
This Special Issue aims to include contributions that focus on processing and utilizing point cloud data acquired from laser scanners and other 3D imaging systems. We are particularly interested in original papers that address innovative techniques for generating, handling, and analyzing point cloud data, challenges in dealing with point cloud data in emerging remote sensing applications, and developing new applications for point cloud data.
Dr. Miaohui Wang
Dr. Sukun Tian
Guest Editors
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Keywords
- point cloud acquisition from laser scanners, stereo vision, panoramas, camera phone images and oblique as well as satellite imagery
- deep learning for point cloud processing
- point cloud registration, segmentation, object detection, semantic labelling, compression and quality assessment
- fusion of multimodal point clouds
- modeling of LiDAR/image-based point cloud processing
- industrial applications with large-scale point clouds
- high-performance computing for large-scale point clouds
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