- -

Automatic estimation of olive tree dendrometric parameters based on airborne laser scanning data using alpha-shape and principal component analysis

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Automatic estimation of olive tree dendrometric parameters based on airborne laser scanning data using alpha-shape and principal component analysis

Show full item record

Hadas, E.; Borkowski, A.; Estornell Cremades, J.; Tymkow, P. (2017). Automatic estimation of olive tree dendrometric parameters based on airborne laser scanning data using alpha-shape and principal component analysis. GIScience & Remote Sensing. 54(6):898-917. doi:10.1080/15481603.2017.1351148

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/112971

Files in this item

Item Metadata

Title: Automatic estimation of olive tree dendrometric parameters based on airborne laser scanning data using alpha-shape and principal component analysis
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Issued date:
Abstract:
[EN] The aim of this study is to present an automatic approach for olive tree dendrometric parameter estimation from airborne laser scanning (ALS) data. The proposed method is based on a unique combination of the alpha-shape ...[+]
Subjects: Remote sensing , Airborne laser scanning , Alpha-shape , Principal component analysis , Agriculture , Trees
Copyrigths: Cerrado
Source:
GIScience & Remote Sensing. (issn: 1548-1603 )
DOI: 10.1080/15481603.2017.1351148
Publisher:
Taylor & Francis
Publisher version: https://doi.org/10.1080/15481603.2017.1351148
Type: Artículo

This item appears in the following Collection(s)

Show full item record