[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] Review on active and passive remote sensing techniques for road extraction
Digital maps of road networks are a vital part of digital cities and intelligent transportation. In
this paper, we provide a comprehensive review on road extraction based on various remote …
this paper, we provide a comprehensive review on road extraction based on various remote …
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
Abstract Multispectral LiDAR (Light Detection And Ranging) is characterized of the
completeness and consistency of its spectrum and spatial geometric data, which provides a …
completeness and consistency of its spectrum and spatial geometric data, which provides a …
[HTML][HTML] Multispectral LiDAR point cloud classification using SE-PointNet++
A multispectral light detection and ranging (LiDAR) system, which simultaneously collects
spatial geometric data and multi-wavelength intensity information, opens the door to three …
spatial geometric data and multi-wavelength intensity information, opens the door to three …
[HTML][HTML] Deep learning for detecting multi-level driver fatigue using physiological signals: A comprehensive approach
A large share of traffic accidents is related to driver fatigue. In recent years, many studies
have been organized in order to diagnose and warn drivers. In this research, a new …
have been organized in order to diagnose and warn drivers. In this research, a new …
[HTML][HTML] Airborne multispectral LiDAR point cloud classification with a feature reasoning-based graph convolution network
This paper presents a feature reasoning-based graph convolution network (FR-GCNet) to
improve the classification accuracy of airborne multispectral LiDAR (MS-LiDAR) point …
improve the classification accuracy of airborne multispectral LiDAR (MS-LiDAR) point …
[HTML][HTML] Building extraction from airborne multi-spectral LiDAR point clouds based on graph geometric moments convolutional neural networks
Building extraction has attracted much attentions for decades as a prerequisite for many
applications and is still a challenging topic in the field of photogrammetry and remote …
applications and is still a challenging topic in the field of photogrammetry and remote …
A spatial–spectral classification framework for multispectral LiDAR
ABSTRACT Precise classification of Light Detection and Ranging (LiDAR) point cloud is a
fundamental process in various applications, such as land cover mapping, forestry …
fundamental process in various applications, such as land cover mapping, forestry …
3d lidar map compression for efficient localization on resource constrained vehicles
Large scale 3D maps constructed via LiDAR sensor are widely used on intelligent vehicles
for localization in outdoor scenes. However, loading, communication and processing of the …
for localization in outdoor scenes. However, loading, communication and processing of the …
[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 …