| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/3RANJ24 |
| Repository | sid.inpe.br/plutao/2018/06.18.15.56.44 (restricted access) |
| Last Update | 2018:06.20.13.20.00 (UTC) lattes |
| Metadata Repository | sid.inpe.br/plutao/2018/06.18.15.56.45 |
| Metadata Last Update | 2019:01.14.17.09.17 (UTC) administrator |
| DOI | 10.1109/LGRS.2018.2831914 |
| ISSN | 1545-598X |
| Label | lattes: 5123287769635741 2 CostaFonKorBenSou:2018:SpSeAp |
| Citation Key | CostaFonKörBenSou:2018:SpSeAp |
| Title | Spatio-temporal segmentation applied to optical remote sensing image time series  |
| Year | 2018 |
| Access Date | 2025, Feb. 05 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 1860 KiB |
| 2. Context | |
| Author | 1 Costa, Wanderson Santos 2 Fonseca, Leila Maria Garcia 3 Körting, Thales Sehn 4 Bendini, Hugo do Nascimento 5 Souza, Ricardo Cartaxo Modesto de |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHLD |
| ORCID | 1 0000-0002-4018-5287 |
| Group | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 CGOBT-CGOBT-INPE-MCTIC-GOV-BR 3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 4 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 5 DIDPI-CGOBT-INPE-MCTIC-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) 5 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 wanderson.costa@inpe.br 2 leila.fonseca@inpe.br 3 thales.korting@inpe.br 4 hugo.bendini@inpe.br 5 ricardo.cartaxo@inpe.br |
| Journal | IEEE Geoscience and Remote Sensing Letters |
| Volume | 1 |
| Number | 99 |
| Pages | 1-5 |
| Secondary Mark | A1_GEOGRAFIA A1_ENGENHARIAS_IV A2_INTERDISCIPLINAR A2_GEOCIÊNCIAS B1_CIÊNCIA_DA_COMPUTAÇÃO B2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B2_BIOTECNOLOGIA B3_ASTRONOMIA_/_FÍSICA C_CIÊNCIAS_AGRÁRIAS_I |
| History (UTC) | 2018-06-19 04:18:24 :: lattes -> administrator :: 2018 2018-06-20 13:17:13 :: administrator -> lattes :: 2018 2018-06-20 13:20:03 :: lattes -> administrator :: 2018 2019-01-14 17:09:17 :: administrator -> simone :: 2018 |
| 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 | Image segmentation remote sensing satelites Time series analysis |
| Abstract | The availability of a large amount of remote sensing data made Earth Observation increasingly accessible and detailed. High temporal and spatial resolution sensors are responsible for making available data sets of time series in unprecedented proportions. Within this context, the use of efficient segmentation algorithms of remote sensing imagery represents an important role in this scenario, because they provide homogeneous regions in space-time and hence simplify the data set. In addition, the spatio-temporal segmentation can bring a new way of interpreting data by means of analyzing contiguous regions in time. This letter describes a method for image segmentation applied to time series of the Earth Observation data. We adapted the traditional region growing method to detect homogeneous regions in space and time. Study cases were conducted by considering the dynamic time warping algorithm as the homogeneity criterion to grow regions. Tests on high temporal resolution image sequences from Moderate Resolution Imaging Spectroradiometer and Landsat-8 Operational Land Imager vegetation indices and comparisons with other distance measurements provided satisfactory outcomes. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Spatio-temporal segmentation applied... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Spatio-temporal segmentation applied... |
| Arrangement 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Spatio-temporal segmentation applied... |
| 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 | pt |
| Target File | costa_spatio.pdf |
| Reader Group | administrator lattes |
| Visibility | shown |
| Archiving Policy | denypublisher allowfinaldraft |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3EU2H28 8JMKD3MGPCW/3F3NU5S |
| Citing Item List | sid.inpe.br/bibdigital/2013/09.09.15.05 12 sid.inpe.br/bibdigital/2013/10.01.23.43 8 sid.inpe.br/bibdigital/2013/10.18.22.34 6 |
| Dissemination | WEBSCI; PORTALCAPES; SCIELO; AGU; MGA; COMPENDEX; IEEEXplore. |
| 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 parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url usergroup |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |