Results 1 to 10 of about 5,523 (200)
Airborne LiDAR point cloud classification using PointNet++ network with full neighborhood features. [PDF]
PLoS ONE, 2023 Compared with other point clouds, the airborne LiDAR point cloud has its own characteristics. The deep learning network PointNet++ ignores the inherent properties of airborne LiDAR point, and the classification precision is low.
Xingzhong Nong, Wenfeng Bai, Guanlan Liu
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An Overview of Shoreline Mapping by Using Airborne LiDAR
Remote Sensing, 2023 Since the shorelines are important geographical boundaries, monitoring shoreline change plays an important role in integrated coastal management. With the evolution of remote sensing technology, many studies have used optical images to measure and to ...
Jonathan Li +2 more
exaly +3 more sources
Shiftable Leading Point Method for High Accuracy Registration of Airborne and Terrestrial LiDAR Data
Remote Sensing, 2015 A new automated approach to the high-accuracy registration of airborne and terrestrial LiDAR data is proposed, which has three primary steps. Firstly, airborne and terrestrial LiDAR data are used to extract building corners, known as airborne corners and
Manchun Li, Liang Cheng, Yanming Chen
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Remote Sensing, 2016 LiDAR data has been successfully used to estimate forest parameters such as canopy heights and biomass. Major limitation of LiDAR systems (airborne and spaceborne) arises from their limited spatial coverage.
Valery Gond +2 more
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Fusion of Hyperspectral CASI and Airborne LiDAR Data for Ground Object Classification through Residual Network [PDF]
Sensors, 2020 Modern satellite and aerial imagery outcomes exhibit increasingly complex types of ground objects with continuous developments and changes in land resources.
Zhanyuan Chang +3 more
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Hierarchical Registration Method for Airborne and Vehicle LiDAR Point Cloud
Remote Sensing, 2015 A new hierarchical method for the automatic registration of airborne and vehicle light detection and ranging (LiDAR) data is proposed, using three-dimensional (3D) road networks and 3D building contours.
Manchun Li, Liang Cheng, Yanming Chen
exaly +3 more sources
International Journal of Scientific Research in Science, Engineering and Technology, 2021 This data has been used in many existing inventions and even in many new inventions. This paper consists of a review of the current state of LiDAR technology and covers issues related to both data capturing and processing. In this paper, a discussion on different types of LiDAR sensors including LiDAR for autonomous vehicles was also done.
Harsh Jindal, Jagdeep kaur
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Intensity Harmonization for Airborne LiDAR [PDF]
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021 Constructing a point cloud for a large geographic region, such as a state or country, can require multiple years of effort. Often several vendors will be used to acquire LiDAR data, and a single region may be captured by multiple LiDAR scans. A key challenge is maintaining consistency between these scans, which includes point density, number of returns,
David Jones, Nathan Jacobs
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A New Airborne Doppler Lidar for Boundary Layer Research & LES-Based Simulation [PDF]
EPJ Web of Conferences, 2020 Airborne Doppler lidar measurements are a valuable tool in meteorological research. A new airborne Doppler lidar system has been developed jointly by the Karlsruhe Institute of Technology (KIT) and the Technical University of Brunswick.
Gasch P. +5 more
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Airborne LiDAR Strip Adjustment Method Based on Point Clouds with Planar Neighborhoods
Remote Sensing, 2023 Airborne light detection and ranging (LiDAR) data are increasingly used in various fields such as topographic mapping, urban planning, and emergency management.
Zhenxing Sun +3 more
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