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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/UMGpr
Repositorysid.inpe.br/sibgrapi@80/2008/07.17.16.11
Last Update2008:07.17.16.11.27 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2008/07.17.16.11.28
Metadata Last Update2022:06.14.00.13.42 (UTC) administrator
DOI10.1109/SIBGRAPI.2008.26
Citation KeyLeiteFeFoDaPaSa:2008:CrTyRe
TitleCrop type recognition based on Hidden Markov Models of plant phenology
FormatPrinted, On-line.
Year2008
Access Date2024, May 02
Number of Files1
Size427 KiB
2. Context
Author1 Leite, Paula Beatriz Cerqueira
2 Feitosa, Raul Queiroz
3 Formaggio, Antônio Roberto
4 Da Costa, Gilson Alexandre Ostwald Pedro
5 Pakzad, Kian
6 Sanches, Ieda Del'Arco
Affiliation1 Catholic University of Rio de Janeiro (PUC-Rio)
2 Catholic University of Rio de Janeiro (PUC-Rio)
3 National Institute for Space Research (INPE)
4 Catholic University of Rio de Janeiro (PUC-Rio)
5 Leibnitz University Hannover (IPI)
6 National Institute for Space Research (INPE)
EditorJung, Cláudio Rosito
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)
Conference LocationCampo Grande, MS, Brazil
Date12-15 Oct. 2008
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 16:11:28 :: paula.leite@gmail.com -> administrator ::
2009-08-13 20:38:50 :: administrator -> paula.leite@gmail.com ::
2010-08-28 20:03:21 :: paula.leite@gmail.com -> administrator ::
2022-06-14 00:13:42 :: administrator -> :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordscrop type recognition
hidden markov models
remote sensing
multitemporal analysis
plant phenology
AbstractThis work introduces a Hidden Markov Model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their spectral profiles over a sequence of satellite images. Different HMMs, one for each of the considered crop classes, are used to relate the varying spectral response along the crop cycles with plant phenology. The method assigns for a given image segment the crop class whose corresponding HMM presents the highest probability of emitting the observed sequence of spectral values. Experiments were conducted upon a sequence of 12 previously classified LANDSAT images. The performance of the proposed multitemporal classification method was compared to that of a monotemporal maximum likelihood classifier, and the results indicated a remarkable superiority of the HMM-based method, which achieved an average of no less than 93% accuracy in the identification of the correct crop, for sequences of data containing a single crop class.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2008 > Crop type recognition...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Crop type recognition...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UMGpr
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/UMGpr
Languageen
Target Fileleite-CropTypeRecognition.pdf
User Grouppaula.leite@gmail.com
administrator
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SG4TH
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.04.55 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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