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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3TUHUS5
Repositorysid.inpe.br/mtc-m21c/2019/09.03.11.38
Last Update2019:11.18.14.17.17 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/09.03.11.38.58
Metadata Last Update2020:01.06.11.42.18 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyRibeiroTJBSCTB:2019:WeNeSy
TitleWeightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest
Year2019
Access Date2024, May 16
Secondary TypePRE CI
Number of Files1
Size7226 KiB
2. Context
Author1 Ribeiro, E. S.
2 Torres, V. A. M. F.
3 James, B. R. A.
4 Braga, M. T.
5 Shiguemori, Elcio Hideiti
6 Campos Velho, Haroldo Fraga de
7 Torres, L. C. B.
8 Braga, A. P.
Resume Identifier1
2
3
4
5
6 8JMKD3MGP5W/3C9JHC3
Group1
2
3
4
5
6 LABAC-COCTE-INPE-MCTIC-GOV-BR
Affiliation1 Universidade Federal de Minas Gerais (UFMG)
2 Universidade Federal de Minas Gerais (UFMG)
3 Universidade Federal de Minas Gerais (UFMG)
4 Universidade Federal de Minas Gerais (UFMG)
5 Instituto de Estudos Avançados (IEAv)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Universidade Federal de Minas Gerais (UFMG)
8 Universidade Federal de Minas Gerais (UFMG)
Author e-Mail Address1
2
3
4
5
6 haroldo.camposvelho@inpe.br
7
8 apbraga@ufmg.br
Conference NameEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 27
Conference LocationBruges, Belgium
Date24-26 apr.
History (UTC)2019-09-03 11:40:03 :: simone -> administrator :: 2019
2019-09-04 17:41:31 :: administrator -> simone :: 2019
2019-11-18 14:17:17 :: simone -> administrator :: 2019
2020-01-06 11:42:18 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractThis work proposes a novel methodology for the recognition of deforestation areas in tropical forests using weightless neural systems in UAVs. The weightless neural systems embedded in hardware brings a considerable improvement in the speed of processing of image-based navigation of UAVs. In our approach the UAV navigates at the frontier of the deforestation area by means of previously trained descriptors, being able to monitor the increase of deforestation area. Experiments using images of the Amazon rainforest have been performed to validate the proposed approach.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Weightless neural systems...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/3TUHUS5
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/3TUHUS5
Languageen
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 2
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarymark tertiarytype type url volume
7. Description control
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