Map** of urban vegetation with high-resolution remote sensing: A review

R Neyns, F Canters - Remote sensing, 2022 - mdpi.com
Green space is increasingly recognized as an important component of the urban
environment. Adequate management and planning of urban green space is crucial to …

Aerial computing: A new computing paradigm, applications, and challenges

QV Pham, R Ruby, F Fang, DC Nguyen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In existing computing systems, such as edge computing and cloud computing, several
emerging applications and practical scenarios are mostly unavailable or only partially …

[HTML][HTML] Tree species recognition from close-range sensing: A review

J Chen, X Liang, Z Liu, W Gong, Y Chen… - Remote Sensing of …, 2024 - Elsevier
Abstract Information on tree species across various spatial scales, from an individual tree to
a forest stand and the broader landscape, contributes to an accurate and thorough …

Instance recognition of street trees from urban point clouds using a three-stage neural network

T Jiang, Y Wang, S Liu, Q Zhang, L Zhao… - ISPRS Journal of …, 2023 - Elsevier
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 …

[HTML][HTML] Classification of large-scale mobile laser scanning data in urban area with LightGBM

E Sevgen, S Abdikan - Remote Sensing, 2023 - mdpi.com
Automatic point cloud classification (PCC) is a challenging task in large-scale urban point
clouds due to the heterogeneous density of points, the high number of points and the …

Capsule-based networks for road marking extraction and classification from mobile LiDAR point clouds

L Ma, Y Li, J Li, Y Yu, JM Junior… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Accurate road marking extraction and classification play a significant role in the
development of autonomous vehicles (AVs) and high-definition (HD) maps. Due to point …

[HTML][HTML] Fusion of multi-temporal PlanetScope data and very high-resolution aerial imagery for urban tree species map**

R Neyns, K Efthymiadis, P Libin, F Canters - Urban Forestry & Urban …, 2024 - Elsevier
Detailed assessment of the ecosystem services provided by urban green spaces requires
data on urban tree species. While many approaches for map** of urban trees from …

[HTML][HTML] Segmentation of individual trees in urban MLS point clouds using a deep learning framework based on cylindrical convolution network

T Jiang, S Liu, Q Zhang, X Xu, J Sun, Y Wang - International Journal of …, 2023 - Elsevier
Automatic and accurate instance segmentation of street trees from point clouds is a
fundamental task in urban green space research. Previous studies have achieved …

Automated street tree inventory using mobile LiDAR point clouds based on Hough transform and active contours

AH Safaie, H Rastiveis, A Shams, WA Sarasua… - ISPRS Journal of …, 2021 - Elsevier
Trees are important road-side objects, and their geometric information plays an essential
role in road studies and safety analyses. This paper proposes an efficient method for the …

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 …