| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | mtc-m16d.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP7W/3E9BA2P |
| Repository | sid.inpe.br/mtc-m19/2013/06.09.02.41 (restricted access) |
| Last Update | 2013:07.08.19.13.52 (UTC) marcelo.pazos@inpe.br |
| Metadata Repository | sid.inpe.br/mtc-m19/2013/06.09.02.41.59 |
| Metadata Last Update | 2018:06.05.04.14.15 (UTC) administrator |
| DOI | 10.1109/TGRS.2012.2215332 |
| ISSN | 0196-2892 |
| Label | scopus |
| Citation Key | MelloViRuApSaAg:2013:NeMeMu |
| Title | STARS: A new method for multitemporal remote sensing  |
| Year | 2013 |
| Access Date | 2024, Apr. 20 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 2647 KiB |
| 2. Context | |
| Author | 1 Mello, Marcio Pupin 2 Vieira, Carlos A. O. 3 Rudorff, Bernardo Friedrich Theodor 4 Aplin, Paul 5 Santos, Rafael Duarte Coelho dos 6 Aguiar, Daniel Alves de |
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JGKP 4 5 8JMKD3MGP5W/3C9JJ4N |
| Group | 1 DSR-OBT-INPE-MCTI-GOV-BR 2 3 DSR-OBT-INPE-MCTI-GOV-BR 4 5 LAC-CTE-INPE-MCTI-GOV-BR 6 SER-SRE-SPG-INPE-MCTI-GOV-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Geosciences Department, Federal University of Santa Catarina (UFSC), 88040-900 Florianópolis-SC, Brazil 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 School of Geography, University of Nottingham, NG7 2RD Nottingham, United Kingdom 5 Laboratory for Computing and Applied Mathematics (LAC), National Institute for Space Research (INPE), 12227-010 São José dos Campos-SP, Brazil 6 Remote Sensing Division, National Institute for Space Research (INPE), 12227-010 São José dos Campos-SP, Brazil |
| Author e-Mail Address | 1 mello@dsr.inpe.br 2 3 4 5 rafael.santos@inpe.br 6 daniel@dsr.inpe.br |
| e-Mail Address | marcelo.pazos@inpe.br |
| Journal | IEEE Transactions on Geoscience and Remote Sensing |
| Volume | 51 |
| Number | 4 |
| Pages | 1897-1913 |
| Secondary Mark | A1 A1 A1 A1 A2 A2 B1 |
| History (UTC) | 2016-07-03 21:02:25 :: administrator -> marcelo.pazos@inpe.br :: 2013 2016-10-14 16:43:56 :: marcelo.pazos@inpe.br -> administrator :: 2013 2018-06-05 04:14:15 :: administrator -> marcelo.pazos@inpe.br :: 2013 |
| 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 | Gram-schmidt green harvest (GH) multi-spectral multi-temporal orthonormalization preharvest burning (BH) decision trees harvesting image processing image reconstruction remote sensing stars data set harvesting image processing land cover numerical model remote sensing spatiotemporal analysis spectral analysis straw sugar cane Brazil |
| Abstract | There is great potential for the development of remote sensing methods that integrate and exploit both multispectral and multitemporal information. This paper presents a new image processing method: Spectral-Temporal Analysis by Response Surface (STARS), which synthesizes the full information content of a multitemporal-multispectral remote sensing image data set to represent the spectral variation over time of features on the Earth's surface. Depending on the application, STARS can be effectively implemented using a range of different models [e.g., polynomial trend surface (PTS) and collocation surface (CS)], exploiting data from different sensors, with varying spectral wavebands and acquiring data at irregular time intervals. A case study was used to test STARS, evaluating its potential to characterize sugarcane harvest practices in Brazil, specifically with and without preharvest straw burning. Although the CS model presented sharper and more defined spectral-temporal surfaces, abrupt changes related to the sugarcane harvest event were also well characterized with the PTS model when a suitable degree was set. Orthonormal coefficients were tested for both the PTS and CS models and performed more accurately than regular coefficients when used as input for three evaluated classifiers: instance based, decision tree, and neural network. Results show that STARS holds considerable potential for representing the spectral changes over time of features on the Earth's surface, thus becoming an effective image processing method, which is useful not only for classification purposes but also for other applications such as understanding land-cover change. The STARS algorithm can be found at www.dsr.inpe.br/~mello. © 2012 IEEE. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > STARS: A new... |
| Arrangement 2 | urlib.net > LABAC > STARS: A new... |
| Arrangement 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > STARS: A new... |
| 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 | STARS.pdf |
| User Group | administrator marcelo.pazos@inpe.br self-uploading-INPE-MCTI-GOV-BR |
| Reader Group | administrator marcelo.pazos@inpe.br |
| Visibility | shown |
| Archiving Policy | denypublisher allowfinaldraft |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Mirror Repository | iconet.com.br/banon/2006/11.26.21.31 |
| Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3ESGTTP 8JMKD3MGPCW/3F3NU5S |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.58.32 3 sid.inpe.br/mtc-m21/2012/07.13.14.41 1 sid.inpe.br/bibdigital/2013/09.22.23.14 1 |
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; IEEEXplore; SCOPUS. |
| Host Collection | sid.inpe.br/mtc-m19@80/2009/08.21.17.02 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Description control | |
| e-Mail (login) | marcelo.pazos@inpe.br |
| update | |