Log in to save to my catalogue

Individual Palm Tree Detection Using Deep Learning on RGB Imagery to Support Tree Inventory

Individual Palm Tree Detection Using Deep Learning on RGB Imagery to Support Tree Inventory

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3db30d202d5645f2a8be227b6a3ab87e

Individual Palm Tree Detection Using Deep Learning on RGB Imagery to Support Tree Inventory

About this item

Full title

Individual Palm Tree Detection Using Deep Learning on RGB Imagery to Support Tree Inventory

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3476

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Phoenix palms cover more than 1.3 million hectares in the Mediterranean, Middle East, and North Africa regions and they represent highly valued assets for economic, environmental, and cultural purposes. Despite their importance, information on the number of palm trees and the palm distribution across different scenes is difficult to obtain and, the...

Alternative Titles

Full title

Individual Palm Tree Detection Using Deep Learning on RGB Imagery to Support Tree Inventory

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3db30d202d5645f2a8be227b6a3ab87e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3db30d202d5645f2a8be227b6a3ab87e

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs12213476

How to access this item