Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity-Reference-Cited by-同舟云学术

Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity

Published:2018-05-05 Issue:5 Volume:10 Page:714
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Tuominen Sakari,Näsi Roope,Honkavaara Eija,Balazs Andras,Hakala Teemu,Viljanen Niko,Pölönen Ilkka^ORCID,Saari Heikki,Ojanen Harri

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/10/5/714/pdf

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5. Review of studies on tree species classification from remotely sensed data

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