| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 6qtX3pFwXQZG2LgkFdY/LN2Bx |
| Repository | sid.inpe.br/sibgrapi@80/2006/07.18.12.53 |
| Last Update | 2006:07.18.12.53.05 (UTC) administrator |
| Metadata Repository | sid.inpe.br/sibgrapi@80/2006/07.18.12.53.06 |
| Metadata Last Update | 2022:06.14.00.13.15 (UTC) administrator |
| DOI | 10.1109/SIBGRAPI.2006.4 |
| Citation Key | FreryFerrBust:2006:AcStCl |
| Title | Accuracy of Statistical Classification Strategies in Remote Sensing Imagery  |
| Format | On-line |
| Year | 2006 |
| Access Date | 2024, Apr. 27 |
| Number of Files | 1 |
| Size | 265 KiB |
| 2. Context | |
| Author | 1 Frery, Alejandro César 2 Ferrero, Susana 3 Bustos, Oscar Humberto |
| Affiliation | 1 Universidade Federal de Alagoas 2 Universidad Nacional de Río Cuarto 3 Universidad Nacional de Córdoba |
| Editor | Oliveira Neto, Manuel Menezes de Carceroni, Rodrigo Lima |
| e-Mail Address | acfrery@pesquisador.cnpq.br |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI) |
| Conference Location | Manaus, AM, Brazil |
| Date | 8-11 Oct. 2006 |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Book Title | Proceedings |
| Tertiary Type | Full Paper |
| History (UTC) | 2006-07-18 12:53:07 :: acfrery -> banon :: 2006-08-30 21:52:16 :: banon -> acfrery :: 2008-07-17 14:11:03 :: acfrery -> administrator :: 2009-08-13 20:38:08 :: administrator -> banon :: 2010-08-28 20:02:24 :: banon -> administrator :: 2022-06-14 00:13:15 :: administrator -> :: 2006 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | image classification accuracy contextual classification |
| Abstract | We present the assessment of two classification procedures using a Monte Carlo experience and Landsat data. Classification performance is hard to assess with generality due to the huge number of variables involved. In this case we consider the problem of classifying multispectral optical imagery with pointwise Gaussian Maximum Likelihood and contextual ICM (Iterated Conditional Modes), with and without errors in the training stage. Using simulation the ground truth is known and, therefore, precise comparisons are possible. The contextual approach proved being superior than the pointwise one, at the expense of requiring more computational resources, with both real and simulated data. Quantitative and qualitative results are discussed. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Accuracy of Statistical... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Accuracy of Statistical... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LN2Bx |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LN2Bx |
| Language | en |
| Target File | frery-AccuracyClassification.pdf |
| User Group | acfrery administrator |
| Visibility | shown |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPEW34M/46RFT7E 8JMKD3MGPEW34M/4742MCS |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.08.00.20 5 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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 |