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

S **, 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 …

State-of-the-art: DTM generation using airborne LIDAR data

Z Chen, B Gao, B Devereux - Sensors, 2017 - mdpi.com
Digital terrain model (DTM) generation is the fundamental application of airborne Lidar data.
In past decades, a large body of studies has been conducted to present and experiment a …

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

W Zhang, J Qi, P Wan, H Wang, D **e, 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) …

Applications of LiDAR in agriculture and future research directions

S Debnath, M Paul, T Debnath - Journal of Imaging, 2023 - mdpi.com
Light detection and ranging (LiDAR) sensors have accrued an ever-increasing presence in
the agricultural sector due to their non-destructive mode of capturing data. LiDAR sensors …

[HTML][HTML] Damage evolution and full-field 3D strain distribution in passively confined concrete

PD Li, YF Wu - Cement and Concrete Composites, 2023 - Elsevier
The damage evolution of concrete under multiple stress states is complicated because the
triaxial stress on the heterogeneous concrete affects mesoscale interactions between …

Automatic building extraction from LiDAR data fusion of point and grid-based features

S Du, Y Zhang, Z Zou, S Xu, X He, S Chen - ISPRS journal of …, 2017 - Elsevier
This paper proposes a method for extracting buildings from LiDAR point cloud data by
combining point-based and grid-based features. To accurately discriminate buildings from …

An improved morphological algorithm for filtering airborne LiDAR point cloud based on multi-level kriging interpolation

Z Hui, Y Hu, YZ Yevenyo, X Yu - Remote Sensing, 2016 - mdpi.com
Filtering is one of the core post-processing steps for airborne LiDAR point cloud. In recent
years, the morphology-based filtering algorithms have proven to be a powerful and efficient …

[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 …

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 …

An automated mathematical morphology driven algorithm for water body extraction from remotely sensed images

CA Rishikeshan, H Ramesh - ISPRS journal of photogrammetry and …, 2018 - Elsevier
The detection and extraction of water bodies from satellite imagery is very important and
useful for several planning and developmental activities such as shoreline identification …