1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34P/3KFRQ6S |
Repository | sid.inpe.br/mtc-m21b/2015/10.27.16.52 (restricted access) |
Last Update | 2015:10.27.16.53.28 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m21b/2015/10.27.16.52.24 |
Metadata Last Update | 2018:06.04.02.55.47 (UTC) administrator |
Secondary Key | INPE--PRE/ |
DOI | 10.1117/12.2194135 |
Citation Key | ArabiFernPiza:2015:HMHySp |
Title | HMM for hyperspectral spectrum representation and classification with endmember entropy vectors |
Year | 2015 |
Access Date | 2024, May 11 |
Secondary Type | PRE CI |
Number of Files | 1 |
Size | 232 KiB |
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2. Context | |
Author | 1 Arabi, Samir Youssif Wehbi 2 Fernandes, David 3 Pizarro, Marco Antônio |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JHQH |
Group | 1 2 3 DEA-ETE-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Federal de Educação, Ciência e Tecnologia de Goías (IFG) 2 Instituto Tecnológico de Aeronáutica (ITA) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 samir.arabi@ifg.edu.br 2 3 marco.pizarro@inpe.br |
Conference Name | Image and Signal Processing for Remote Sensing, 21 |
Conference Location | Toulouse, France |
Date | 21 Sept. |
Book Title | Proceedings |
History (UTC) | 2015-10-27 16:52:24 :: simone -> administrator :: 2018-06-04 02:55:47 :: administrator -> simone :: 2015 |
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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 | Hyperspectral image classification HMM entropy |
Abstract | The Hyperspectral images due to its good spectral resolution are extensively used for classification, but its high number of bands requires a higher bandwidth in the transmission data, a higher data storage capability and a higher computational capability in processing systems. This work presents a new methodology for hyperspectral data classification that can work with a reduced number of spectral bands and achieve good results, comparable with processing methods that require all hyperspectral bands. The proposed method for hyperspectral spectra classification is based on the Hidden Markov Model (HMM) associated to each Endmember (EM) of a scene and the conditional probabilities of each EM belongs to each other EM. The EM conditional probability is transformed in EM vector entropy and those vectors are used as reference vectors for the classes in the scene. The conditional probability of a spectrum that will be classified is also transformed in a spectrum entropy vector, which is classified in a given class by the minimum ED (Euclidian Distance) among it and the EM entropy vectors. The methodology was tested with good results using AVIRIS spectra of a scene with 13 EM considering the full 209 bands and the reduced spectral bands of 128, 64 and 32. For the test area its show that can be used only 32 spectral bands instead of the original 209 bands, without significant loss in the classification process. |
Area | ETES |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDEA > HMM for hyperspectral... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Target File | 96430P.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | urlib.net/www/2011/03.29.20.55 |
Next Higher Units | 8JMKD3MGPCW/3F6GF6B |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.55.18 2 sid.inpe.br/bibdigital/2013/11.04.22.00 1 |
Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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6. Notes | |
Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format isbn issn label language lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume |
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7. Description control | |
e-Mail (login) | simone |
update | |
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