| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br (namespace prefix: upn:33M4QT8) |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/474NU7N |
| Repository | sid.inpe.br/plutao/2022/06.15.12.32.44 (restricted access) |
| Last Update | 2022:06.20.17.25.55 (UTC) lattes |
| Metadata Repository | sid.inpe.br/plutao/2022/06.15.12.32.45 |
| Metadata Last Update | 2023:01.03.16.52.55 (UTC) administrator |
| DOI | 10.5194/isprs-annals-V-3-2022-255-2022 |
| ISSN | 0924-2716 |
| Label | lattes: 4816443925174561 1 SilvaFerrQueiSant:2022:SPSESA |
| Citation Key | SilvaSouzFerrQuei:2022:SpSeSa |
| Title | Spatiotemporal segmentation of satellite image time series using self-organizing map  |
| Year | 2022 |
| Access Date | 2025, Dec. 08 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 33575 KiB |
| 2. Context | |
| Author | 1 Silva, Baggio Luiz de Castro e 2 Souza, Felipe Carvalho de 3 Ferreira, Karine Reis 4 Queiroz, Gilberto Ribeiro de |
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JHKN 4 8JMKD3MGP5W/3C9JHBC |
| Group | 1 CAP-COMP-DIPGR-INPE-MCTI-GOV-BR 2 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 3 DIOTG-CGCT-INPE-MCTI-GOV-BR 4 DIOTG-CGCT-INPE-MCTI-GOV-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 baggio.silva@inpe.br 2 lipecaso@gmail.com 3 krfgomes@gmail.com 4 gilberto.queiroz@inpe.br |
| Journal | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Volume | 3 |
| Pages | 255-261 |
| Secondary Mark | A1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_ENGENHARIAS_IV B1_BIODIVERSIDADE C_CIÊNCIAS_AGRÁRIAS_I |
| History (UTC) | 2022-06-15 12:50:15 :: lattes -> administrator :: 2022 2022-06-20 17:24:31 :: administrator -> lattes :: 2022 2022-06-20 17:25:57 :: lattes -> administrator :: 2022 2023-01-03 16:52:55 :: administrator -> simone :: 2022 |
| 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 | Spatiotemporal Segmentation Satellite Image Time Series Land Use and Land Cover Changes Unsupervised Classification Clustering Algorithms Earth Data Cubes |
| Abstract | Nowadays, researchers have free access to an unprecedentedly large amount of remote sensing images collected by satellites and sensors with different spatial, temporal, and spectral resolutions. This scenario has promoted the use of satellite image time series for spatiotemporal analysis. This paper presents a methodology for spatiotemporal segmentation of satellite image time series. Spatiotemporal segmentation finds homogeneous regions in space and time from remote sensing images based on spectral features. The proposed approach is unsupervised based on the self-organizing map (SOM) neural network and hierarchical clustering algorithm. It was implemented and applied to a region in the Mato Grosso state, Brazil. The results were evaluated using qualitative and quantitative approaches. In the qualitative approach, visual analysis was performed based on the land use and land cover map of the TerrraClass Cerrado project. In the quantitative approach, supervised and geometric metrics were used to analyze the quality of the produced segments. The results obtained are promising since the segments produced were homogeneous and with a low occurrence of over-segmentation. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Spatiotemporal segmentation of... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Spatiotemporal segmentation of... |
| Arrangement 3 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Spatiotemporal segmentation of... |
| Arrangement 4 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Spatiotemporal segmentation 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 | isprs-annals-V-3-2022-255-2022.pdf |
| Reader Group | administrator lattes |
| Visibility | shown |
| Archiving Policy | denypublisher denyfinaldraft24 |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3F2PHGS 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/46KUATE 8JMKD3MGPCW/46KUES5 |
| Citing Item List | sid.inpe.br/bibdigital/2013/10.18.22.34 - 47 sid.inpe.br/bibdigital/2013/10.12.22.16 - 39 sid.inpe.br/bibdigital/2022/04.03.22.23 - 34 sid.inpe.br/bibdigital/2022/04.03.23.11 - 25 sid.inpe.br/mtc-m21/2012/07.13.14.49.22 - 8 sid.inpe.br/mtc-m21/2012/07.13.14.53.08 - 6 |
| URL (untrusted data) | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2022/255/2022/ |
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes 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 | |