| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | mtc-m16c.sid.inpe.br |
| Identifier | 8JMKD3MGPDW34P/45U7H3L |
| Repository | sid.inpe.br/mtc-m16c/2021/12.09.11.36 |
| Last Update | 2021:12.09.11.36.57 (UTC) simone |
| Metadata Repository | sid.inpe.br/mtc-m16c/2021/12.09.11.36.57 |
| Metadata Last Update | 2023:01.30.13.07.56 (UTC) administrator |
| ISSN | 2179-4847 |
| Citation Key | MirandaMaxSanKörFon:2021:ClWaVo |
| Title | Classification of the water volume of dams using heterogeneous remote sensing images through a deep convolutional neural network  |
| Format | On-line. |
| Year | 2021 |
| Access Date | 2024, May 09 |
| Secondary Type | PRE CN |
| Number of Files | 1 |
| Size | 1767 KiB |
| 2. Context | |
| Author | 1 Miranda, Mateus de Souza 2 Maximiano, Renato de Sousa 3 Santiago Júnior, Valdivino Alexandre de 4 Körting, Thales Sehn 5 Fonseca, Leila Maria Garcia |
| Group | 1 2 3 COPDT-CGIP-INPE-MCTI-GOV-BR 4 DIOTG-CGCT-INPE-MCTI-GOV-BR 5 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) 5 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 mateus.miranda@inpe.br 2 renato.maximiano@inpe.br 3 valdivino.santiago@inpe.br 4 thales.korting@inpe.br 5 leila.fonseca@inpe.br |
| Editor | Vinhas, Lubia (INPE) Graça, Alan J. Salomão (UERJ) |
| Conference Name | Simpósio Brasileiro de Geoinformática, 22 (GEOINFO) |
| Conference Location | On-line |
| Date | 29 nov. a 02 dez. 2021 |
| Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Publisher City | São José dos Campos |
| Book Title | Anais |
| Tertiary Type | Full paper |
| History (UTC) | 2021-12-09 11:37:48 :: simone -> administrator :: 2021 2021-12-16 15:23:31 :: administrator -> simone :: 2021 2021-12-16 18:04:38 :: simone -> administrator :: 2021 2023-01-30 13:07:56 :: administrator -> simone :: 2021 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Abstract | Deep Convolutional Neural Networks (DCNN) have played an important role in several application domains and also in remote sensing image classification and object detection. In this article, we extend a previously proposed model, used to classify forest areas as preserved or non-preserved, in order to classify the water volume of dams in the state of Sao Paulo, Brazil, using remote sensing images. Our revised DCNN addresses a multi-class classification problem while our previous one was devised for binary classification. Moreover, our model relies on heterogeneous images, considering different sensors and also different spatial resolutions regarding the data sets. Results show that the overall accuracy of our model was 85.56% considering images from the Atibainha and Jaguari dams of the Cantareira water supply system to compose the testing set, demonstrating the feasibility of our approach to these types of applications. This is an indication of the good generalization capabilities of our model. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Classification of the... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Classification of the... |
| Arrangement 3 | urlib.net > BDMCI > Fonds > GEOINFO > XXII GEOINFO > Classification of the... |
| Arrangement 4 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > XXII GEOINFO > Classification of the... |
| Arrangement 5 | urlib.net > BDMCI > Fonds > GEOINFO > Coleção GEOINFO > Classification of the... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/8JMKD3MGPDW34P/45U7H3L |
| zipped data URL | http://urlib.net/zip/8JMKD3MGPDW34P/45U7H3L |
| Language | en |
| Target File | Miranda_classificaction.pdf |
| User Group | simone |
| Visibility | shown |
| Copyright License | urlib.net/www/2012/11.12.15.19 |
| Rightsholder | originalauthor yes |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/46KUATE 8JMKD3MGPCW/46KUES5 8JMKD3MGPDW34P/462CM9S 8JMKD3MGPDW34P/48F29JE |
| Citing Item List | sid.inpe.br/mtc-m16c/2023/01.30.13.05 6 sid.inpe.br/bibdigital/2022/04.03.22.23 1 sid.inpe.br/mtc-m16c/2021/12.16.19.25 1 |
| Host Collection | sid.inpe.br/mtc-m18@80/2008/03.17.15.17 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist callnumber contenttype copyholder creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition holdercode isbn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |