A comprehensive but efficient framework of proposing and validating feature parameters from airborne LiDAR data for tree species classification

Show full item record

Permalink

Files in this item

Files Size Format View

There are no files associated with this item.

Title: A comprehensive but efficient framework of proposing and validating feature parameters from airborne LiDAR data for tree species classification
Author: Lin, Yi; Hyyppä, Juha
Publisher: International Institute for Aerial Survey and Earth Sciences
Date: 2016
Language: en
Belongs to series: International Journal of Applied Earth Observation and Geoinformation
ISSN: 0303-2434
URI: http://www.sciencedirect.com/science/article/pii/S0303243415300611
http://hdl.handle.net/10138/224946


This item appears in the following Collection(s)

Show full item record