A graph-based progressive morphological filtering (GPMF) method for generating canopy height models using ALS data-Reference-Cited by-同舟云学术

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A graph-based progressive morphological filtering (GPMF) method for generating canopy height models using ALS data

Published:2019-07 Issue: Volume:79 Page:84-96
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Hao Yuanshuo,Zhen Zhen,Li Fengri,Zhao Yinghui

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference58 articles.

1. DEM generation from laser scanner data using adaptive TIN models;Axelsson;Int. Arch. Photogramm. Remote Sens.,2000

2. A comparison of stand-level volume estimates from image-based canopy height models of different spatial resolutions;Balenović;Remote Sens.,2017

3. Individual tree crown delineation from airborne laser scanning for diseased larch forest stands;Barnes;Remote Sens.,2017

4. Development of a pit filling algorithm for LiDAR canopy height models;Ben-Arie;Comput. Geosci.,2009

5. Isolating individual trees in a savanna woodland using small footprint Lidar data;Chen;Photogramm. Eng. Remote Sens.,2006

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1. Weighted Differential Gradient Method for Filling Pits in Light Detection and Ranging (LiDAR) Canopy Height Model;Remote Sensing;2024-04-08

2. Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: a case study of natural secondary forest in Northeast China;Geo-spatial Information Science;2024-02-13

3. A Comprehensive Comparison of Individual Tree Crown Delineation of Plantations Using UAV-LiDAR Data: A Case Study for Larch (Larix Olgensis) Forests in Northeast China;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. Urban Forest Above-Ground Biomass Estimation Based on UAV 3D Real Scene;Drones;2023-07-08

5. Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data;GIScience & Remote Sensing;2023-02-03

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