Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach-Reference-Cited by-同舟云学术

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Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach

Published:2021-04 Issue: Volume:256 Page:112307
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Yun Ting,Jiang Kang,Li Guangchao,Eichhorn Markus P.,Fan Jiangchuan,Liu Fangzhou,Chen Bangqian,An Feng,Cao Lin

Funder

National Key Research and Development Program of China

Chinese Academy of Tropical Agricultural Sciences

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference54 articles.

1. Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests;Amiri;ISPRS J. Photogramm. Remote Sens.,2018

2. Mapping tropical forest carbon: calibrating plot estimates to a simple LiDAR metric;Asner;Remote Sens. Environ.,2014

3. A comparative assessment of the performance of individual tree crowns delineation algorithms from ALS data in tropical forests;Aubry-Kientz;Remote Sens.,2019

4. Edge preserved image fusion based on multiscale toggle contrast operator;Bai;Image Vis. Comput.,2011

5. A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems;Campbell;Remote Sens. Environ.,2020

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