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[HTML][HTML] Review of automatic processing of topography and surface feature identification LiDAR data using machine learning techniques
Machine Learning (ML) applications on Light Detection And Ranging (LiDAR) data have
provided promising results and thus this topic has been widely addressed in the literature …
provided promising results and thus this topic has been widely addressed in the literature …
[HTML][HTML] Multispectral light detection and ranging technology and applications: a review
Light Detection and Ranging (LiDAR) is a well-established active technology for the direct
acquisition of 3D data. In recent years, the geometric information collected by LiDAR …
acquisition of 3D data. In recent years, the geometric information collected by LiDAR …
Unsupervised domain adaptation for cross-scene multispectral point cloud classification
Q Wang, M Wang, J Huang, T Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Remote sensing cross-scene classification has always been an important research field,
especially in the field of 3-D classification, which is of great significance. Considering the …
especially in the field of 3-D classification, which is of great significance. Considering the …
[HTML][HTML] Multi-sensor fusion for robust localization with moving object segmentation in complex dynamic 3D scenes
Q Li, Y Zhuang, J Huai - International Journal of Applied Earth Observation …, 2023 - Elsevier
Accurate and robust localization is one of the key modules of autonomous driving and multi-
sensor robotic systems in complex urban scenes. Compared with camera-based …
sensor robotic systems in complex urban scenes. Compared with camera-based …
[HTML][HTML] CapViT: Cross-context capsule vision transformers for land cover classification with airborne multispectral LiDAR data
Equipped with multiple channels of laser scanners, multispectral light detection and ranging
(MS-LiDAR) devices possess more advanced prospects in earth observation tasks …
(MS-LiDAR) devices possess more advanced prospects in earth observation tasks …
[HTML][HTML] Semantic segmentation of raw multispectral laser scanning data from urban environments with deep neural networks
Real-time semantic segmentation of point clouds has increasing importance in applications
related to 3D city modelling and map**, automated inventory of forests, autonomous …
related to 3D city modelling and map**, automated inventory of forests, autonomous …
[HTML][HTML] A feature perturbation weakly supervised learning network for airborne multispectral LiDAR pointcloud classification
Currently, most pointcloud classification methods heavily rely on huge numbers of labeled
samples. Notably, labeling a large-scale multispectral LiDAR (MS-LiDAR) pointcloud is time …
samples. Notably, labeling a large-scale multispectral LiDAR (MS-LiDAR) pointcloud is time …