Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …
thereby improving plant breeding and management. Remote sensing techniques have …
Three dimensional change detection using point clouds: A review
Change detection is an important step for the characterization of object dynamics at the
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …
An easy-to-use airborne LiDAR data filtering method based on cloth simulation
Separating point clouds into ground and non-ground measurements is an essential step to
generate digital terrain models (DTMs) from airborne LiDAR (light detection and ranging) …
generate digital terrain models (DTMs) from airborne LiDAR (light detection and ranging) …
Experiment and application of NATM tunnel deformation monitoring based on 3D laser scanning
D Hu, Y Li, X Yang, X Liang, K Zhang… - Structural Control and …, 2023 - Wiley Online Library
In recent years, 3D laser scanning technology has been applied to tunnel engineering.
Although more intelligent than traditional measurement technology, it is still challenging to …
Although more intelligent than traditional measurement technology, it is still challenging to …
[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 …
EnRDeA U-net deep learning of semantic segmentation on intricate noise roads
Road segmentation is beneficial to build a vision-controllable mission-oriented self-driving
bot, eg, the Self-Driving Sweeping Bot, or SDSB, for working in restricted areas. Using road …
bot, eg, the Self-Driving Sweeping Bot, or SDSB, for working in restricted areas. Using road …
Robotic cross-platform sensor fusion and augmented visualization for large indoor space reality capture
The advancement in sensors, robotics, and artificial intelligence has enabled a series of
methods such as simultaneous localization and mapping (SLAM), semantic segmentation …
methods such as simultaneous localization and mapping (SLAM), semantic segmentation …
Comparison of low-altitude UAV photogrammetry with terrestrial laser scanning as data-source methods for terrain covered in low vegetation
This article juxtaposes results from an unmanned aerial vehicle (UAV) and a terrestrial laser
scanning (TLS) survey conducted to determine land relief. The determination of terrain relief …
scanning (TLS) survey conducted to determine land relief. The determination of terrain relief …
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 …