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Estimation of aboveground biomass of Robinia pseudoacacia forest in the Yellow River Delta based on UAV and Backpack LiDAR point clouds
UAV-LiDAR Backpack-LiDAR Individual tree segmentation Forest AGB The Yellow River Delta
2024/1/22
Forest plantations are an important source of terrestrial carbon sequestration. The forest of Robinia pseudoacacia in the Yellow River Delta (YRD) is the largest artificial ecological protection fores...
Classification of Mediterranean Shrub Species from UAV Point Clouds
Unmanned Aerial Vehicles (UAV) Digital Aerial Photogrammetry (DAP) machine learning deep learning point cloud labelling Mediterranean forest
2023/12/4
odelling fire behaviour in forest fires is based on meteorological, topographical, and vegetation data, including species’ type. To accurately parameterise these models, an inventory of the area of an...
An LHC quadrupole whose beam screen had been coated with a fine layer of carbon displayed minimal heat load in comparison to other magnets, constituting a promising step in eliminating electron clouds...
High in the atmosphere of Venus, a swirl of sulfur-containing clouds blankets the planet. Dark spots in these clouds correspond with areas of high ultraviolet light absorption, but researchers have ye...
Could acid-neutralizing life-forms make habitable pockets in Venus’ clouds?（图）
酸中和 金星云 生命形式
2023/6/8
It’s hard to imagine a more inhospitable world than our closest planetary neighbor. With an atmosphere thick with carbon dioxide, and a surface hot enough to melt lead, Venus is a scorched and suffoca...
Global satellite data shows clouds will amplify global heating
cloud global heating satellite measurements
2021/8/3
A new approach to analyse satellite measurements of Earth's cloud cover reveals that clouds are very likely to enhance global heating.
Clouds' greenhouse effect instrumental in origin of tropical storms（图）
Clouds greenhouse effect instrumental origin tropical storms
2020/11/6
The tropical storm season in the Atlantic Ocean is already well into the Greek alphabet for naming.Better tropical storm track forecasting has allowed timely preparations and evacuations. However, pre...
CLUSTERING OF WALL GEOMETRY FROM UNSTRUCTURED POINT CLOUDS
Building Information Modeling Clustering Wall Building Point Clouds
2019/3/1
The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is retrieving the proper observations for each object. After s...
MULTIGRID CELL SHAPE EVALUATION IN DTM FILTERING OF MOBILE LIDAR POINT CLOUDS
Point cloud Mobile LiDAR Digital terrain models Filtering Delaunay triangulation
2018/11/9
The georeferenced information acquisition for large scales digital terrain models generation is usually a rather time-consuming and costly process. The use of point clouds gathered by mobile LiDAR sys...
FROM POINT CLOUDS TO 3D ISOVISTS IN INDOOR ENVIRONMENTS
Visibility graphs Path complexity Spatial analysis
2018/11/9
Visibility is a common measure to describe the spatial properties of an environment related to the spatial behaviour. Isovists represent the space that can be seen from one observation point, and they...
IMAGE-BASED METHOD FOR THE PAIRWISE REGISTRATION OF MOBILE LASER SCANNING POINT CLOUDS
pairwise registration relative registration image registration template matching
2018/11/9
In this paper, a method is proposed for solving relative translations of 3D point clouds collected by Mobile Laser Scanning (MLS) techniques. The proposed approach uses the attributes of the 3D points...
A THRESHOLD-FREE FILTERING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUDS BASED ON EXPECTATION-MAXIMIZATION
Airborne LiDAR Point clouds Filtering Ground points Expectation-maximization Intensity
2018/5/14
Filtering is a key step for most applications of airborne LiDAR point clouds. Although lots of filtering algorithms have been put forward in recent years, most of them suffer from parameters setting o...
EIGENENTROPY BASED CONVOLUTIONAL NEURAL NETWORK BASED ALS POINT CLOUDS CLASSIFICATION METHOD
EIGENENTROPY CONVOLUTIONAL NEURAL NETWORK ALS POINT CLOUDS CLASSIFICATION METHOD
2018/5/16
The classification of point clouds is the first step in the extraction of various types of geo-information form point clouds. Recently the ISPRS WG II/4 provides a benchmark on 3D semantic labelling, ...
GENERATION OF GROUND TRUTH DATASETS FOR THE ANALYSIS OF 3D POINT CLOUDS IN URBAN SCENES ACQUIRED VIA DIFFERENT SENSORS
Different sensors Point clouds Multi-resolution voxel structure 3D space labeling
2018/5/16
In this work, we report a novel way of generating ground truth dataset for analyzing point cloud from different sensors and the validation of algorithms. Instead of directly labeling large amount of 3...
ANALYSIS OF 3D BUILDING MODELS ACCURACY BASED ON THE AIRBORNE LASER SCANNING POINT CLOUDS
Accuracy Data quality Quality assessment 3D building 3D mesh Point cloud
2018/6/4
Creating 3D building models in large scale is becoming more popular and finds many applications. Nowadays, a wide term “3D building models” can be applied to several types of products: well-known City...