Results 131 to 140 of about 29,125 (157)

Individual tree segmentation and tree-counting using supervised clustering

Computers and Electronics in Agriculture, 2023
Xubing Yang, Liyong Fu, Xijian Fan
exaly   +3 more sources

Study on Individual Tree Segmentation of Different Tree Species Using Different Segmentation Algorithms Based on 3D UAV Data

Forests, 2023
Individual structural parameters of trees, such as forest stand tree height and biomass, serve as the foundation for monitoring of dynamic changes in forest resources. Individual tree structural parameters are closely related to individual tree crown segmentation.
Haotian You, Xu Tang, Qixu You
exaly   +2 more sources

The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data [PDF]

Remote Sensing, 2019
This study investigated the effects of forest type, leaf area index (LAI), canopy cover (CC), tree density (TD), and the coefficient of variation of tree height (CVTH) on the accuracy of different individual tree segmentation methods (i.e., canopy height model, pit-free canopy height model (PFCHM), point cloud, and layer stacking seed point) with LiDAR
Yanjun Su, Nina Maggi Kelly, Qinghua Guo
exaly   +3 more sources

Segmentation of Individual Tree Points by Combining Marker-Controlled Watershed Segmentation and Spectral Clustering Optimization

Remote Sensing
Accurate identification and segmentation of individual tree points are crucial for assessing forest spatial distribution, understanding tree growth and structure, and managing forest resources. Traditional methods based on Canopy Height Models (CHM) are simple yet prone to over- and/or under-segmentation.
Dong Chen, Mingming Sui, P Takis Mathiopoulos   +2 more
exaly   +5 more sources

Individual tree segmentation in deciduous forests using geodesic voting

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
Airborne Laser Scanning (ALS) has been widely used to survey forest areas. The extraction (segmentation) of individual trees from ALS point clouds is a prerequisite step for tree biophysical parameter estimation. For this purpose, we develop and evaluate a graph based segmentation algorithm adapted to deciduous forests scanned with high density LiDAR (~
Parkan, Matthew, Tuia, Devis
openaire   +2 more sources

Individual Tree Segmentation Based on Mean Shift and Crown Shape Model for Temperate Forest

IEEE Geoscience and Remote Sensing Letters, 2021
Light detection and ranging (LiDAR) provides high-resolution geometric information for monitoring forests at individual tree crown (ITC) level. An important task for ITC delineation is segmentation, and previous studies showed that the adaptive 3-D mean shift (AMS3D) algorithm provides effective results.
Eduardo Tusa, Jean-Matthieu Monnet, Jean-Baptiste Barré, Mauro Dalla Mura, Michele Dalponte, Jocelyn Chanussot   +5 more
openaire   +5 more sources

Scale-Adaptive Segmentation and Recognition of Individual Trees Based on LiDAR Data

2007
A scale-adaptive method for tree segmentation and recognition based on the LiDAR height data is described. The proposed method uses an isotropic matched filtering operator optimized for the fast and reliable detection of local and multiple objects. Sequential local maxima of this operator indicate the centers of potential objects of interest such as ...
Roman M. Palenichka, Marek B. Zaremba
openaire   +1 more source

Structure-Preserving Segmentation of Individual Tree Crowns by Brownian Motion

2003
A fast, simple and easy to implement segmentation method is presented. A particle is walking in the image in the fashion of a Brownian motion to create the segments. Using this method, it is possible to segment the image and find the inner structure of the segment at the same time. The inner structure could be useful for further analysis.
openaire   +1 more source

A supervoxel approach to the segmentation of individual trees from LiDAR point clouds

Remote Sensing Letters, 2018
This letter aims to propose an automatic method for the segmentation of street trees from LiDAR point clouds. The first step is to extract tree points to reduce the scale of data to be processed. The second step is to formulate supervoxels for grouping homogeneous points.
Sheng Xu, Ning Ye, Shanshan Xu, Fa Zhu
openaire   +1 more source

Individual tree segmentation from a leaf-off photogrammetric point cloud

International Journal of Remote Sensing, 2018
The proliferation of small unmanned aerial vehicles and structure from motion photogrammetry provides simple, repeatable, and inexpensive techniques for creating high-resolution aerial imagery and ...
Julia C. Carr, Jacob B. Slyder
openaire   +1 more source