[HTML][HTML] Segmentation of individual trees in urban MLS point clouds using a deep learning framework based on cylindrical convolution network
Automatic and accurate instance segmentation of street trees from point clouds is a
fundamental task in urban green space research. Previous studies have achieved …
fundamental task in urban green space research. Previous studies have achieved …
[HTML][HTML] A review of panoptic segmentation for mobile mapping point clouds
Abstract 3D point cloud panoptic segmentation is the combined task to (i) assign each point
to a semantic class and (ii) separate the points in each class into object instances. Recently …
to a semantic class and (ii) separate the points in each class into object instances. Recently …
Road-side individual tree segmentation from urban MLS point clouds using metric learning
P Wang, Y Tang, Z Liao, Y Yan, L Dai, S Liu, T Jiang - Remote Sensing, 2023 - mdpi.com
As one of the most important components of urban space, an outdated inventory of road-side
trees may misguide managers in the assessment and upgrade of urban environments …
trees may misguide managers in the assessment and upgrade of urban environments …
RailSeg: Learning Local-Global Feature Aggregation with Contextual Information for Railway Point Cloud Semantic Segmentation
Incomplete or outdated inventories of railway infrastructures may disrupt the railway sector's
administration and maintenance of transportation infrastructure, thus posing potential threats …
administration and maintenance of transportation infrastructure, thus posing potential threats …
Multispectral point cloud superpoint segmentation
The multitude of airborne point clouds limits the point cloud processing efficiency.
Superpoints are grouped based on similar points, which can effectively alleviate the demand …
Superpoints are grouped based on similar points, which can effectively alleviate the demand …
Extracting 3-D structural lines of building from ALS point clouds using graph neural network embedded with corner information
The representation quantifies the geometric shape and topology of a building is a necessary
procedure for many urban planning applications. A sharp line framework is a high-level …
procedure for many urban planning applications. A sharp line framework is a high-level …
Local and global structure for urban ALS point cloud semantic segmentation with ground-aware attention
Interpretation of airborne laser scanning (ALS) point clouds plays a notable role in
geoinformation production. As a critical step for interpretation, accurate semantic …
geoinformation production. As a critical step for interpretation, accurate semantic …
Instance recognition of street trees from urban point clouds using a three-stage neural network
As one of the most important components of urban space, the geometric and semantic
properties of road trees are crucial for the assessment and upgrade of urban environments …
properties of road trees are crucial for the assessment and upgrade of urban environments …
Automated semantics and topology representation of residential-building space using floor-plan raster maps
Automatically representing the semantics and topology of indoor building spaces from floor-
plans is necessary for many applications, such as architectural design and indoor …
plans is necessary for many applications, such as architectural design and indoor …
Interoperability-Enhanced Knowledge Management in Law Enforcement: An Integrated Data-Driven Forensic Ontological Approach to Crime Scene Analysis
Nowadays, more and more sciences are involved in strengthening the work of law
enforcement authorities. Scientific documentation is evidence highly respected by the courts …
enforcement authorities. Scientific documentation is evidence highly respected by the courts …