[HTML][HTML] Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey
With the fast development of 3D data acquisition techniques, topographic point clouds have
become easier to acquire and have promoted many geospatial applications. Ground filtering …
become easier to acquire and have promoted many geospatial applications. Ground filtering …
Filtering airborne LiDAR data through complementary cloth simulation and progressive TIN densification filters
Separating point clouds into ground and non-ground points is a preliminary and essential
step in various applications of airborne light detection and ranging (LiDAR) data, and many …
step in various applications of airborne light detection and ranging (LiDAR) data, and many …
DTM extraction from DSM using a multi-scale DTM fusion strategy based on deep learning
Extraction of digital terrain model (DTM) from Digital Surface Model (DSM) still faces many
problems in a complex scene with geometric ambiguities such as steep slope forested …
problems in a complex scene with geometric ambiguities such as steep slope forested …
An adaptive surface interpolation filter using cloth simulation and relief amplitude for airborne laser scanning data
F Li, H Zhu, Z Luo, H Shen, L Li - Remote Sensing, 2021 - mdpi.com
Separating point clouds into ground and nonground points is an essential step in the
processing of airborne laser scanning (ALS) data for various applications. Interpolation …
processing of airborne laser scanning (ALS) data for various applications. Interpolation …
Filtering airborne LiDAR point clouds based on a scale-irrelevant and terrain-adaptive approach
Separating ground from non-ground points is a challenging and essential task before the
applications of airborne Light Detection And Ranging (LiDAR) data. The classical filters …
applications of airborne Light Detection And Ranging (LiDAR) data. The classical filters …
[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 …
A robust and efficient method for power lines extraction from mobile LiDAR point clouds
Monitoring, maintaining, and organizing power lines corridors are of great importance
because they are a primary means to transfer generated electricity from power stations to …
because they are a primary means to transfer generated electricity from power stations to …
High-resolution terrain modeling using airborne lidar data with transfer learning
This study presents a novel workflow for automated Digital Terrain Model (DTM) extraction
from Airborne LiDAR point clouds based on a convolutional neural network (CNN) …
from Airborne LiDAR point clouds based on a convolutional neural network (CNN) …
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 …
An active learning method for DEM extraction from airborne LiDAR point clouds
Airborne Light Detection and Ranging (LiDAR) is a popular active remote sensing
technology that has been developing very rapidly in recent years. To solve the problems of …
technology that has been developing very rapidly in recent years. To solve the problems of …