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[HTML][HTML] Individual tree detection in large-scale urban environments using high-resolution multispectral imagery
Systematic maps of urban forests are useful for regional planners and ecologists to
understand the spatial distribution of trees in cities. However, manually-created urban forest …
understand the spatial distribution of trees in cities. However, manually-created urban forest …
Complete residential urban area reconstruction from dense aerial LiDAR point clouds
We present an automatic system to reconstruct 3D urban models for residential areas from
aerial LiDAR scans. The key difference between downtown area modeling and residential …
aerial LiDAR scans. The key difference between downtown area modeling and residential …
Classifying urban landscape in aerial LiDAR using 3D shape analysis
The classification of urban landscape in aerial lidar point clouds is useful in 3D modeling
and object recognition applications in urban environments. In this paper, we introduce a …
and object recognition applications in urban environments. In this paper, we introduce a …
Tree detection from aerial imagery
L Yang, X Wu, E Praun, X Ma - Proceedings of the 17th ACM …, 2009 - dl.acm.org
We propose an automatic approach to tree detection from aerial imagery. First a pixel-level
classifier is trained to assign a {tree, non-tree} label to each pixel in an aerial image. The …
classifier is trained to assign a {tree, non-tree} label to each pixel in an aerial image. The …
Tree detection form aerial imagery
L Yang, X Wu, E Praun - US Patent 8,655,070, 2014 - Google Patents
Detecting trees from above the Earth's surface is increas ingly important in geographical
information systems, models and applications. Depending on their input data, three meth …
information systems, models and applications. Depending on their input data, three meth …
[PDF][PDF] Three-dimensional point cloud based sky view factor analysis in complex urban settings.
Quantitatively describing effects caused by trees is a challenging issue for sky view factor
(SVF) studies. The complex geometrical shapes of trees and the seasonally changing …
(SVF) studies. The complex geometrical shapes of trees and the seasonally changing …
Tree annotations in LiDAR data using point densities and convolutional neural networks
LiDAR provides highly accurate 3-D point clouds. However, data need to be manually
labeled in order to provide subsequent useful information. Manual annotation of such data is …
labeled in order to provide subsequent useful information. Manual annotation of such data is …
A supervoxel-based vegetation classification via decomposition and modelling of full-waveform airborne laser scanning data
Vegetation classification is a fundamental task in several applications such as forest
management, remote sensing-based crop monitoring, and mitigation of plant diseases …
management, remote sensing-based crop monitoring, and mitigation of plant diseases …
An investigation of tree extraction from UAV-based photogrammetric dense point cloud
Manually, tree detection with terrestrial field work is a nonprofit labor in terms of time, cost,
and manpower. As a rapid alternative, terrestrial and airborne laser scanners are widely in …
and manpower. As a rapid alternative, terrestrial and airborne laser scanners are widely in …
Automatic tree annotation in LiDAR data
LiDAR provides highly accurate 3D point cloud data for a number of tasks such as forest
surveying and urban planning. Automatic classification of this data, however, is challenging …
surveying and urban planning. Automatic classification of this data, however, is challenging …