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A Review on the Use of LiDAR remote sensing for forest landscape restoration
SM Mazlan, WS Wan Mohd Jaafar… - … and Applications of …, 2023 - Springer
Forest landscape restoration (FLR) is the process where vegetation is recovering in terms of
its forest traits, ecosystem functionality, climate change mitigation, building up human …
its forest traits, ecosystem functionality, climate change mitigation, building up human …
A mean shift segmentation morphological filter for airborne LiDAR DTM extraction under forest canopy
Z Hui, S **, Y ** system for robot navigation in dynamic environments
Z Zhou, X Feng, S Di, X Zhou - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Simultaneous Localization and Map** (SLAM) technology based on multi-line LiDAR
enables real-time robot positioning and environment map** in unknown environments …
enables real-time robot positioning and environment map** in unknown environments …
[HTML][HTML] High-accuracy filtering of forest scenes based on full-waveform LiDAR data and hyperspectral images
W Luo, H Ma, J Yuan, L Zhang, H Ma, Z Cai, W Zhou - Remote Sensing, 2023 - mdpi.com
Airborne light detection and ranging (LiDAR) technology has been widely utilized for
collecting three-dimensional (3D) point cloud data on forest scenes, enabling the generation …
collecting three-dimensional (3D) point cloud data on forest scenes, enabling the generation …
[HTML][HTML] Intelligent processing of UAV remote sensing data for building high-precision DEMs in complex terrain: A case study of Loess Plateau in China
Q Yang, F Tang, Z Tian, J Xue, C Zhu, Y Su… - International Journal of …, 2024 - Elsevier
Abstract The Loess Plateau in China is renowned for its dense gullies and complex terrain,
with drastic changes primarily due to soil erosion and human activities, significantly affecting …
with drastic changes primarily due to soil erosion and human activities, significantly affecting …
Individual tree extraction from terrestrial LiDAR point clouds based on transfer learning and Gaussian mixture model separation
Individual tree extraction is an important process for forest resource surveying and
monitoring. To obtain more accurate individual tree extraction results, this paper proposed …
monitoring. To obtain more accurate individual tree extraction results, this paper proposed …
Prediction of shear wave velocity based on a statistical rock-physics model and Bayesian theory
B Zhang, S **, C Liu, Z Guo, X Liu - Journal of Petroleum Science and …, 2020 - Elsevier
Shear wave velocity (V s) is essential for amplitude-variation-with-offset (AVO) analysis and
reservoir characterization. However, V s is unavailable in many well logs due to the cost or …
reservoir characterization. However, V s is unavailable in many well logs due to the cost or …
Building a fully-automatized active learning framework for the semantic segmentation of geospatial 3D point clouds
In recent years, significant progress has been made in develo** supervised Machine
Learning (ML) systems like Convolutional Neural Networks. However, it's crucial to …
Learning (ML) systems like Convolutional Neural Networks. However, it's crucial to …
Multi-information PointNet++ fusion method for DEM construction from airborne LiDAR data
H Hu, G Zhang, J Ao, C Wang, R Kang… - Geocarto …, 2023 - Taylor & Francis
Airborne light detection and ranging (LiDAR) is a popular technology in remote sensing that
can significantly improve the efficiency of digital elevation model (DEM) construction …
can significantly improve the efficiency of digital elevation model (DEM) construction …
Multi-level interpolation-based filter for airborne LiDAR point clouds in forested areas
Over the past decades, plenty of filtering algorithms have been presented to distinguish
ground and non-ground points from airborne LiDAR point clouds. However, with the existing …
ground and non-ground points from airborne LiDAR point clouds. However, with the existing …