1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZG2LgkFdY/UMGpr |
Repository | sid.inpe.br/sibgrapi@80/2008/07.17.16.11 |
Last Update | 2008:07.17.16.11.27 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2008/07.17.16.11.28 |
Metadata Last Update | 2022:06.14.00.13.42 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2008.26 |
Citation Key | LeiteFeFoDaPaSa:2008:CrTyRe |
Title | Crop type recognition based on Hidden Markov Models of plant phenology |
Format | Printed, On-line. |
Year | 2008 |
Access Date | 2024, May 02 |
Number of Files | 1 |
Size | 427 KiB |
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2. Context | |
Author | 1 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 |
Affiliation | 1 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) |
Editor | Jung, Cláudio Rosito Walter, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI) |
Conference Location | Campo Grande, MS, Brazil |
Date | 12-15 Oct. 2008 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | crop type recognition hidden markov models remote sensing multitemporal analysis plant phenology |
Abstract | This 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2008 > Crop type recognition... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Crop type recognition... |
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/6qtX3pFwXQZG2LgkFdY/UMGpr |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/UMGpr |
Language | en |
Target File | leite-CropTypeRecognition.pdf |
User Group | paula.leite@gmail.com administrator |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SG4TH 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.04.55 1 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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