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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 …
environment. Adequate management and planning of urban green space is crucial to …
Aerial computing: A new computing paradigm, applications, and challenges
In existing computing systems, such as edge computing and cloud computing, several
emerging applications and practical scenarios are mostly unavailable or only partially …
emerging applications and practical scenarios are mostly unavailable or only partially …
[HTML][HTML] Tree species recognition from close-range sensing: A review
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 …
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
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 …
[HTML][HTML] Classification of large-scale mobile laser scanning data in urban area with LightGBM
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 …
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
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 …
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**
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 …
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
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 …
Automated street tree inventory using mobile LiDAR point clouds based on Hough transform and active contours
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 …
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 …
trees may misguide managers in the assessment and upgrade of urban environments …