| 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/49NAF95 | |||
| Repository | sid.inpe.br/mtc-m21b/2023/08.29.13.08 | |||
| Last Update | 2023:08.29.13.08.59 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21b/2023/08.29.13.08.59 | |||
| Metadata Last Update | 2023:09.26.02.58.00 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | CarvalhoSantSant:2017:UnClPo | |||
| Title | Unsupervised Classification of PolSAR Images using the K-means algorithm based on stochastic distances  | |||
| Year | 2017 | |||
| Access Date | 2024, Apr. 28 | |||
| Secondary Type | PRE CN | |||
| Number of Files | 1 | |||
| Size | 175 KiB | |||
| 2. Context | ||||
| Author | 1 Carvalho, Naiallen Carolyne Rodrigues Lima 2 Sant'Anna, Leonardo Bins 3 Sant'Anna, Sidnei João Siqueira | |||
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJ8N | |||
| Group | 1 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDPI-CGOBT-INPE-MCTIC-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 naiallen@yahoo.com.br 2 leonardo.bins@inpe.br 3 sidnei.santanna@inpe.br | |||
| Conference Name | Workshop dos Cursos de Computação Aplicada do INPE, 17 (WORCAP) | |||
| Conference Location | São José dos Campos, SP | |||
| Date | 20-22 nov. 2017 | |||
| Book Title | Anais | |||
| Tertiary Type | Poster | |||
| History (UTC) | 2023-08-29 13:08:59 :: simone -> administrator :: 2023-09-26 02:58:00 :: administrator -> simone :: 2017 | |||
| 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 | Stochastic distance PolSAR k-means | |||
| Abstract | Nowadays there is a growing gamma of images generated by satellite that uses SAR Synthetic Aperture Radar) sensors, due to that, many algorithms have been developed for handle this kind of data. The SAR systems act in the microwave range and could generate images in a single polarization, in a single frequency or in multiples polarizations and multiples frequencies. The images generated by a mixture of polarizations horizontal and vertical are called PolSAR (Polarimetric Synthetic Aperture Radar) and are the focus of this work. The classification of PolSAR images provides a thorough characterization of the targets allowing a better segmentation of the area. Image classification consists in separating the data into groups based on their similarity, and the unsupervised approach does do that automatically by finding clusters based on a certain criterion. In this work, we propose to perform an unsupervised classification method to classify the PolSAR images, using the k-means algorithm with the statistical approach which objective is associate a given sample to a cluster according to a probability distribution, and this association depends on the stochastic distance of this sample and the center of mass of the cluster. In general, the Gaussian distribution is the model widely used, running on several occasions as a standard model for modeling data, especially when the probability distribution of a group is not known, but for PolSAR classification the parameter used is a multilook covariance matrix which obeys the complex Wishart distribution. Therefore, in this work, we compare five stochastic distances: Bhattacharyya, Kullback-Leibler, Hellinger, Renyi of order β e Chi-square. And the results showed that the proposed version of K-means reaches higher accuracy values compared to the classic version, which uses the Euclidian distance. | |||
| Area | COMP | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Unsupervised Classification of... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Unsupervised Classification of... | |||
| Arrangement 3 | Unsupervised Classification of... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGP3W34P/49NAF95 | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34P/49NAF95 | |||
| Language | en | |||
| Target File | Carvalho_unsupervised.pdf | |||
| User Group | simone | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3F2PHGS 8JMKD3MGPDW34P/49QQESB | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.15.00.20 3 sid.inpe.br/mtc-m16c/2023/09.14.00.51 2 sid.inpe.br/bibdigital/2013/09.09.15.05 1 | |||
| Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||