| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/3UGCSBJ |
| Repository | sid.inpe.br/plutao/2019/12.03.14.07.10 (restricted access) |
| Last Update | 2019:12.06.14.04.23 (UTC) lattes |
| Metadata Repository | sid.inpe.br/plutao/2019/12.03.14.07.11 |
| Metadata Last Update | 2020:01.06.11.35.24 (UTC) administrator |
| DOI | 10.1080/10106049.2019.1690056 |
| ISSN | 1010-6049 |
| Label | lattes: 1861914973833506 2 SötheAlmSchLieAch:2019:AuTuSe |
| Citation Key | SotheAlmSchLieDia:2019:AuTuSe |
| Title | Automatic tuning of segmentation parameters for tree crown delineation with VHR imagery  |
| Year | 2019 |
| Access Date | 2024, May 18 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 2072 KiB |
| 2. Context | |
| Author | 1 Sothe, Camile 2 Almeida, Cláudia Maria de 3 Schimalski, Marcos Benedito 4 Liesenberg, Veraldo 5 Diaz, Pedro Achanccaray |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGS3 |
| Group | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR |
| Affiliation | 1 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 Address | 1 camile.sothe@inpe.br 2 claudia.almeida@inpe.br |
| Journal | Geocarto International |
| Volume | 14 |
| Pages | 1-18 |
| Secondary Mark | A2_GEOGRAFIA B1_INTERDISCIPLINAR B2_CIÊNCIAS_AMBIENTAIS |
| History (UTC) | 2019-12-03 15:22:40 :: lattes -> administrator :: 2019 2019-12-06 14:02:30 :: administrator -> lattes :: 2019 2019-12-06 14:04:24 :: lattes -> administrator :: 2019 2020-01-06 11:35:24 :: administrator -> simone :: 2019 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Version Type | publisher |
| Keywords | individual tree crown image segmentation object-based image analysis optimization function |
| Abstract | In 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, meanshift 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. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Automatic tuning of... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Automatic tuning of... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | en |
| Target File | sothe_automatica.pdf |
| Reader Group | administrator lattes |
| Visibility | shown |
| Archiving Policy | denypublisher denyfinaldraft12 |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
| Citing Item List | sid.inpe.br/bibdigital/2013/10.18.22.34 2 sid.inpe.br/bibdigital/2013/09.13.21.11 1 |
| URL (untrusted data) | https://www.tandfonline.com/doi/pdf/10.1080/10106049.2019.1690056?needAccess=true |
| Dissemination | WEBSCI |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Notes | Setores de Atividade: Administração pública, defesa e seguridade social, Atividades dos serviços de tecnologia da informação, Pesquisa e desenvolvimento científico. |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype usergroup |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |