[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 …
Artificial Intelligence and Terrestrial Point Clouds for Forest Monitoring
Abstract Purpose of Review This paper provides an overview of integrating artificial
intelligence (AI), particularly deep learning (DL), with ground-based LiDAR point clouds for …
intelligence (AI), particularly deep learning (DL), with ground-based LiDAR point clouds for …
[HTML][HTML] Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning
Detailed forest inventories are critical for sustainable and flexible management of forest
resources, to conserve various ecosystem services. Modern airborne laser scanners deliver …
resources, to conserve various ecosystem services. Modern airborne laser scanners deliver …
[HTML][HTML] Extraction of tree branch skeletons from terrestrial LiDAR point clouds
J Gao, L Tang, H Su, J Chen, Y Yuan - Ecological Informatics, 2025 - Elsevier
Abstract Three-dimensional (3D) branch structures provide vital information for
understanding tree phenotypic characteristics and for ecological studies related to carbon …
understanding tree phenotypic characteristics and for ecological studies related to carbon …
[HTML][HTML] PosE-Enhanced Point Transformer with Local Surface Features (LSF) for Wood–Leaf Separation
Wood–leaf separation from forest LiDAR point clouds is a challenging task due to the
complex and irregular structures of tree canopies. Traditional machine vision and deep …
complex and irregular structures of tree canopies. Traditional machine vision and deep …
Towards a point cloud understanding framework for forest scene semantic segmentation across forest types and sensor platforms
H Lu, B Li, G Yang, G Fan, H Wang, Y Pang… - Remote Sensing of …, 2025 - Elsevier
Abstract Foliage, wood (ie, trunk, branch), ground, and lower objects (ie, grass, shrubs), are
key semantic components of forests that play different roles in the forest ecosystem. For …
key semantic components of forests that play different roles in the forest ecosystem. For …
Stem–Leaf segmentation and phenotypic trait extraction of individual plant using a precise and efficient point cloud segmentation network
J Yan, F Tan, C Li, S **, C Zhang, P Gao… - Computers and Electronics …, 2024 - Elsevier
Rapid and precise 3D organ segmentation is crucial for the automatic extraction of
phenotypic traits, forming a fundamental prerequisite for intelligent plant breeding. The …
phenotypic traits, forming a fundamental prerequisite for intelligent plant breeding. The …
Dynamic region growing approach for leaf-wood separation of individual trees based on geometric features and growing patterns
W Hao, M Ran - International Journal of Remote Sensing, 2024 - Taylor & Francis
The separation of leaf and wood points remains challenging due to the diversity of tree
species and structures. We propose an automatic leaf-wood separation method from tree …
species and structures. We propose an automatic leaf-wood separation method from tree …
[HTML][HTML] 基于 Point Transformer v2 的点云枝叶分离方法研究
马津， 陈一**， **汀， 王朝磊， 张小海… - Spacecraft Recovery & …, 2024 - opticsjournal.net
摘要准确高效的点云枝叶分离对精确计算森林树木的垂直参数至关重要. 然而,
当前的研究方法计算成本高, 且依赖先验知识导致泛化能力不足. 针对以上问题 …
当前的研究方法计算成本高, 且依赖先验知识导致泛化能力不足. 针对以上问题 …