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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

Andriolo, U

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,HM;Faruque,FS

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

Indexing

Scopus^®

Crossref^®13

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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