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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/45NCEFE
Repositorysid.inpe.br/mtc-m21d/2021/11.03.16.41   (restricted access)
Last Update2021:11.03.16.41.09 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2021/11.03.16.41.09
Metadata Last Update2022:04.03.22.27.40 (UTC) administrator
DOI10.1080/10106049.2019.1690056
ISSN1010-6049
Citation KeySotheAlmSchLieDia:2021:AuTuSe
TitleAutomatic tuning of segmentation parameters for tree crown delineation with VHR imagery
Year2021
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size5257 KiB
2. Context
Author1 Sothe, Camile
2 Almeida, Cláudia Maria de
3 Schimalski, Marcos Benedito
4 Liesenberg, Veraldo
5 Diaz, Pedro Achanccaray
Resume Identifier1
2 8JMKD3MGP5W/3C9JGS3
Group1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade do Estado de Santa Catarina (UDESC)
4 Universidade do Estado de Santa Catarina (UDESC)
5 Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
Author e-Mail Address1 camilesothe@yahoo.com.br
2 claudia.almeida@inpe.br
JournalGeocarto International
Volume36
Number19
Pages2241-2259
Secondary MarkA2_GEOGRAFIA B1_INTERDISCIPLINAR B2_CIÊNCIAS_AMBIENTAIS
History (UTC)2021-11-05 12:01:19 :: simone -> administrator :: 2021
2022-04-03 22:27:40 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsimage segmentation
Individual tree crown
metaheuristic methods
object-based image analysis
optimization function
AbstractIn the case of tree species delineation with very high spatial resolution (VHR) images, is desirable that each segment corresponds to one individual tree crown (ITC). However, in order to have a segmentation algorithm that generates segments matching to ITCs, its parameters ought to be properly tuned. Aiming to avoid time-consuming trial-and-error procedures associated with this task, some initiatives for the automatic search of segmentation parameters have been developed, such as metaheuristic methods. The objective of this work was to test the automatic tuning of segmentation parameters of three segmentation algorithms for the delineation of ITCs belonging to a native endangered species in a subtropical forest area, comparing this method with the traditional trial-and-error approach. Two datasets (WorldView-2 and an orthoimage) and three segmentation algorithms (multiresolution, mean-shift and graph-based) were tested. For the automatic approach, a hybrid metaheuristic method was applied to accomplish the automatic search of parameters for the segmentation algorithms, while for the trial-and-error, a visual assessment was conducted for each set of parameters tested. Four supervised metrics were used to assess the quality of the segmentation results for the optimization approach and for the final set of parameters chosen in the trial-and-error approach. Results showed that none of the algorithms, datasets or approaches differ too much. The evaluation metrics values were lower, indicating that the reference ITCs polygons matched with the segmentation results. Despite the similar results, the automatic tuning of segmentation parameters proved to be a feasible alternative to reduce the subjectivity and the human effort in the choice of segmentation parameters as compared to the trial-and error approach.
AreaSRE
Arrangement 1urlib.net > SER > Automatic tuning of...
Arrangement 2urlib.net > Produção a partir de 2021 > CGCT > Automatic tuning of...
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4. Conditions of access and use
Languageen
Target Filesothe_automatic.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 4
sid.inpe.br/bibdigital/2022/04.03.22.23 3
sid.inpe.br/mtc-m21/2012/07.13.14.43.49 2
DisseminationWEBSCI
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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