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Addressing the Class Imbalance Problem in the Automatic Image Classification of Coastal Litter from Orthophotos Derived from Uas Imagery

AuthID
P-00S-PJN

Author(s)

Duarte, D

Gonçalves, G

Editor(s)

Paparoditis N.Mallet C.Lafarge F.Jiang J.Shaker A.Zhang H.Liang X.Osmanoglu B.Soergel U.Honkavaara E.Scaioni M.Zhang J.Peled A.Wu L.Li R.Yoshimura M.Di K.Altan O.Abdulmuttalib H.M.Faruque F.S.

Document Type

Proceedings Paper

Year published

2020

Published

in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN: 2194-9042

Volume: 5, Issue: 3, Pages: 439-445

Conference

2020 24Th Isprs Congress on Technical Commission Iii, Date: 31 August 2020 through 2 September 2020

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Scopus^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.5194/isprs-annals-v-3-2020-439-2020

Scopus: 2-s2.0-85090344022

Source Identifiers

ISSN: 2194-9042

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Addressing the Class Imbalance Problem in the Automatic Image Classification of Coastal Litter from Orthophotos Derived from Uas Imagery

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Addressing the Class Imbalance Problem in the Automatic Image Classification of Coastal Litter from Orthophotos Derived from Uas Imagery

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