Mean shift segmentation assessment for individual forest tree delineation from airborne lidar data

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Mean shift segmentation assessment for individual forest tree delineation from airborne lidar data

Year of publication

2019

Authors

Xiao, Wen; Zaforemska, Aleksandra; Smigaj, Magdalena; Wang, Yunsheng; Gaulton, Rachel

Organizations and authors

National Land Survey of Finland

Wang Yunsheng

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Remote Sensing

Publisher

MDPI

Volume

11

Issue

11

Article number

1263

ISSN

2072-4292

​Publication forum

71359

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

No

Other information

Fields of science

Geosciences

Keywords

3D clustering; airborne laser scanning; INDIVIDUAL TREE DETECTION; point cloud

Publication country

Switzerland

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.3390/rs11111263

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes
Mean shift segmentation assessment for individual forest tree delineation from airborne lidar data - Research.fi