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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/35SESF5
Repositorysid.inpe.br/mtc-m18@80/2009/08.19.19.44   (restricted access)
Last Update2009:08.19.19.44.41 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18@80/2009/08.19.19.44.43
Metadata Last Update2020:10.01.15.57.31 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyGodoyJúniorNovo:1989:TMDaPr
TitleTM/Landsat data processing for inland water monitoring
Year1989
Access Date2024, Apr. 28
Secondary TypePRE CI
Number of Files1
Size216 KiB
2. Context
Author1 Godoy Júnior, Moacir
2 Novo, Evlyn Márcia Leão de Moraes
Group1
2 DSR-INPE-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2 evlyn@ltid.inpe.br
Conference NameGeoscience and Remote Sensing Symposium, IGARSS'89; Canadian Symposium on Remote Sensing, 12.
Conference LocationVancouver, CA
Date10-14 July
Book TitleProceedings
History (UTC)2009-08-19 19:45:32 :: simone -> administrator ::
2020-10-01 15:57:31 :: administrator -> simone :: 1989
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractThis paper presents results from an experiment performed to assess the performance of the median recurrent filter for stripping removal from TM/LANDSAT data. The experiment consisted of comparing the resulting images in terms of their potential for water and land use classification. This comparison was perfomed taking into account two types of remote sensor data user: the user interested in manual interpretation. As far as the potential for manual interpretation is concerned, the different images were compared in terms of the digital filtering effects on the elements of importance for the information extraction: color, texture, shape, contrast, etc. The image performance in terms of digital classification was assessed by comparing the classification matrix resulting from the application of a maximum likelihood algorithm to each data set: Reflectance image; reflectance filtering image; Composite image. The performance of each data set was assessed through the percent of correct classification produced by the samples used to train the system. The results indicate that the filtered image allowed greater separability between opticallydistinct water classes, presenting however a poor performance for non-aquatic targets as far as digital analysis was concerned. For manual analysis, however, the composite image was the best.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > TM/Landsat data processing...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Filelandsat data processing.pdf
User Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m18@80/2008/03.17.15.17.24
Next Higher Units8JMKD3MGPCW/3ER446E
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition editor format isbn issn keywords label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
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