1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | J8LNKAN8RW/3D53LNG |
Repository | dpi.inpe.br/plutao/2012/11.28.16.49.08 |
Last Update | 2015:03.16.19.30.22 (UTC) administrator |
Metadata Repository | dpi.inpe.br/plutao/2012/11.28.16.49.09 |
Metadata Last Update | 2018:06.05.00.02.06 (UTC) administrator |
Secondary Key | INPE--PRE/ |
ISBN | 16113349 13: 9783642332746 |
ISSN | 03029743 |
Label | lattes: 8201805132981288 1 NegriDutrSant:2012:StApMi |
Citation Key | NegriDutrSant:2012:StApMi |
Title | Stochastic Approaches of Minimum Distance Method for Region Based Classification |
Format | Papel |
Year | 2012 |
Access Date | 2024, May 19 |
Secondary Type | PRE CI |
Number of Files | 1 |
Size | 2090 KiB |
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2. Context | |
Author | 1 Negri, Rogério Galante 2 Dutra, Luciano Vieira 3 Sant'Anna, Sidinei João Siqueira |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHMA |
Group | 1 DPI-OBT-INPE-MCTI-GOV-BR 2 DPI-OBT-INPE-MCTI-GOV-BR 3 DPI-OBT-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) |
Author e-Mail Address | 1 rogerio@dpi.inpe.br 2 dutra@dpi.inpe.br 3 sidnei@dpi.inpe.br |
Editor | al, Alvarez et |
e-Mail Address | rogerio@dpi.inpe.br |
Conference Name | Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;Iberoamerican Congress, 17 (CIARP). |
Conference Location | Buenos Aires Berlin |
Date | 2012 |
Publisher | Springer-Verlag |
Volume | 7441 |
Pages | 797-804 |
Book Title | Proceedings |
Tertiary Type | Paper |
History (UTC) | 2012-11-28 23:06:29 :: lattes -> marciana :: 2012 2013-01-18 16:05:29 :: marciana -> administrator :: 2012 2018-06-05 00:02:06 :: administrator -> :: 2012 |
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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 | Computer vision Image analysis Image reconstruction Remote sensing Stochastic systems Classification process Image simulations Minimum average distance Minimum distance Region-based Simple approach Simulation studies Stochastic approach stochastic distances |
Abstract | Normally remote sensing image classification is performed pixelwise which produces a noisy classification. One way of improving such results is dividing the classification process in two steps. First, uniform regions by some criterion are detected and afterwards each unlabeled region is assigned to class of the "nearest" class using a so-called stochastic distance. The statistics are estimated by taking in account all the reference pixels. Three variations are investigated. The first variation is to assign to the unlabeled region a class that has the minimum average distance between this region and each one of reference samples of that class. The second is to assign the class of the closest reference sample. The third is to assign the most frequent class of the k closest reference regions. A simulation study is done to assess the performances. The simulations suggested that the most robust and simple approach is the second variation. |
Area | SRE |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/J8LNKAN8RW/3D53LNG |
zipped data URL | http://urlib.net/zip/J8LNKAN8RW/3D53LNG |
Language | en |
Target File | negri_stochastic.pdf |
User Group | lattes marciana |
Reader Group | administrator marciana |
Visibility | shown |
Read Permission | allow from all |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 |
URL (untrusted data) | http://www.springerlink.com/content/kuv75681m5806613/ |
Dissemination | COMPENDEX |
Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notes | |
Notes | Lecture Notes in Computer Science Volume 7441 2012 |
Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel doi edition lineage mark mirrorrepository nextedition numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type |
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