Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

S Jin, X Sun, F Wu, Y Su, Y Li, S Song, K Xu… - ISPRS Journal of …, 2021 - Elsevier
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

Three dimensional change detection using point clouds: A review

A Kharroubi, F Poux, Z Ballouch, R Hajji, R Billen - Geomatics, 2022 - mdpi.com
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 …

An easy-to-use airborne LiDAR data filtering method based on cloth simulation

W Zhang, J Qi, P Wan, H Wang, D Xie, X Wang, G Yan - Remote sensing, 2016 - mdpi.com
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) …

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 …

[HTML][HTML] Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey

N Qin, W Tan, H Guan, L Wang, L Ma, P Tao… - International Journal of …, 2023 - Elsevier
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 …

EnRDeA U-net deep learning of semantic segmentation on intricate noise roads

X Yu, TW Kuan, SP Tseng, Y Chen, S Chen, JF Wang… - Entropy, 2023 - mdpi.com
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 …

Robotic cross-platform sensor fusion and augmented visualization for large indoor space reality capture

F Xu, P Xia, H You, J Du - Journal of Computing in Civil Engineering, 2022 - ascelibrary.org
The advancement in sensors, robotics, and artificial intelligence has enabled a series of
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

W Gruszczyński, W Matwij, P Ćwiąkała - ISPRS Journal of Photogrammetry …, 2017 - Elsevier
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 …

Filtering airborne LiDAR data through complementary cloth simulation and progressive TIN densification filters

S Cai, W Zhang, X Liang, P Wan, J Qi, S Yu, G Yan… - Remote Sensing, 2019 - mdpi.com
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 …

DTM extraction from DSM using a multi-scale DTM fusion strategy based on deep learning

HA Amirkolaee, H Arefi, M Ahmadlou… - Remote Sensing of …, 2022 - Elsevier
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 …