Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

Year of publication

2021

Authors

Mäyrä, Janne; Keski-Saari, Sarita; Kivinen, Sonja; Tanhuanpää, Topi; Hurskainen, Pekka; Kullberg, Peter; Poikolainen, Laura; Viinikka, Arto; Tuominen, Sakari; Kumpula, Timo; Vihervaara, Petteri

Organizations and authors

University of Helsinki

Hurskainen Pekka

Tanhuanpää Topi

University of Eastern Finland

Poikolainen Laura

Keski-Saari Sarita

Kivinen Sonja

Kumpula Timo

Tanhuanpää Topi-Mikko

Natural Resources Institute Finland

Tuominen Sakari

Finnish Environment Institute

Mäyrä Janne

Hurskainen Pekka

Kullberg Peter

Vihervaara Petteri

Kivinen Sonja

Viinikka Arto

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

Volume

256

Article number

112322

ISSN

0034-4257

Publication forum

66054

Publication forum level

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

License of the self-archived publication

CC BY

Other information

Fields of science

Computer and information sciences; Geosciences; Forestry; Environmental engineering

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

Co-publication with a company

DOI

10.1016/j.rse.2021.112322

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

Yes