108 citations · 312 across the 4 of their papers we have counts for
4 papers
Forest understory trees can be segmented accurately within sufficiently dense airborne laser scanning point clouds
Hamid Hamraz, Marco A. Contreras, Jun Zhang
Airborne laser scanning (LiDAR) point clouds over large forested areas can be processed to segment individual trees and subsequently extract tree-level information. Existing segmen…
A robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data
Hamid Hamraz, Marco A. Contreras, Jun Zhang
This paper presents a non-parametric approach for segmenting trees from airborne LiDAR data in deciduous forests. Based on the LiDAR point cloud, the approach collects crown inform…
A scalable approach for tree segmentation within small-footprint airborne LiDAR data
Hamid Hamraz, Marco A. Contreras, Jun Zhang
This paper presents a distributed approach that scales up to segment tree crowns within a LiDAR point cloud representing an arbitrarily large forested area. The approach uses a sin…
Vertical stratification of forest canopy for segmentation of under-story trees within small-footprint airborne LiDAR point clouds
Hamid Hamraz, Marco A. Contreras, Jun Zhang
Airborne LiDAR point cloud representing a forest contains 3D data, from which vertical stand structure even of understory layers can be derived. This paper presents a tree segmenta…