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Special Issue "Point Cloud Processing in Remote Sensing"
Deadline for manuscript submissions: 31 March 2020.
Tel. +852 27664304
Interests: LiDAR; 3D scene perception and analysis; Environmental remote sensing; Sensor fusion
Interests: laser scanning; remote sensing; machine learning; geomatics engineering; photogrammetry
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Point clouds are deemed to be one of the foundational pillars in representing the 3D digital world despite irregular topology among discrete points. Recently, the advancement in sensor technologies that acquire point cloud data for a flexible and scalable geometric representation has paved the way for the development of new ideas, methodologies and solutions in countless remote sensing applications. The state-of-the-art sensors are capable of capturing and describing objects in a scene by using dense point clouds from various platforms (satellite, aerial, UAV, vehicle-borne, backpack, handheld and static terrestrial), perspectives (nadir, oblique and side-view), spectrums (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.
The Special Issue aims at 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.
Prof. Dr.-Ing. Wei Yao
Prof. Francesco Pirotti
Prof. Dr. Naoto Yokoya
Dr. Yusheng Xu
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 papers will be 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 2000 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.
- Point cloud acquisition from the laser scanner, stereo vision, panoramas, camera phone images, oblique and satellite imagery
- Deep learning for point cloud processing
- Point cloud registration and segmentation
- Feature extraction, object detection, semantic labelling, and change detection
- Point cloud processing for indoor modelling and BIM
- Fusion of multimodal point clouds with imagery for object classification and modelling
- Modeling urban and natural environment from aerial and mobile LiDAR/image-based point clouds
- Industrial applications with large-scale point clouds
- High-performance computing for large-scale point clouds