Application of UAV with LiDAR Data
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 August 2022) | Viewed by 3307
Special Issue Editors
Interests: UAV LiDAR technology; point cloud understanding
Special Issue Information
Dear Colleagues,
The arrival of unmanned aerial vehicles (UAVs) has democratized the development and application of LiDAR forever. Everyday UAV LiDAR can be flown easier and faster, with sensors becoming lighter, more accurate and flexible, enabling their use in multiple platforms or combined with other techniques to obtain everything in a single survey. In terms of data processing, new LiDAR tools and algorithms are continuously being developed, performing tasks and processing better and faster than ever. In recent years, research has evolved from just a few big specialized companies to hundreds of new players bringing new approaches, fresh perspectives and innovative solutions.
All technical changes create new situations, most of them positive. From our perspective, the key is to turn the data you can obtain into value. We are constantly surprised by how many individuals approach every single step with great care and professionalism until it comes to transforming raw data into value. Then, they seem to assume that all automated solutions are equally good and use the most valuable option possible.
This Special Issue welcomes contributions showcasing recent advancements in UAV LiDAR technical developments and applications. Point clouds obtained from UAVs have the unique features of true three dimensionalities, varied point densities, heterogeneous distributions, scene complexity and data incompleteness. It is still challenging to provide an efficient and effective point cloud understanding that includes point cloud registration and fusion, feature extraction, semantic labelling, segmentation and classification, as well as urban environmental monitoring, intelligent transportation systems, geospatial big data analysis, 3D modelling and visualization and high-performance computing. We are pleased to announce a request for the submission of papers aiding in the understanding of UAV LiDAR point clouds.
Areas of interest include, but are not necessarily restricted to:
- UAV LiDAR system development;
- Three-dimensional object detection, extraction, recognition and reconstruction in UAV point clouds;
- Machine/deep learning for large-scale point cloud understanding;
- Multispectral/hyperspectral point clouds for classification and objects extraction of wetlands, cultivated and vegetated areas;
- Fusion of point clouds with optical/multispectral/hyperspectral imagery.
Prof. Dr. Qingzhou Mao
Dr. Cheng Wang
Guest Editors
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