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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3NFKS65
Repositóriosid.inpe.br/mtc-m21b/2017/03.07.13.53
Última Atualização2017:03.07.13.53.24 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2017/03.07.13.53.24
Última Atualização dos Metadados2018:06.04.02.27.21 (UTC) administrator
DOI10.3390/rs9010077
ISSN2072-4292
Chave de CitaçãoReisDutrSantEsca:2017:ExMuCh
TítuloExamining multi-legend change detection in amazon with pixel and region based methods
Ano2017
Data de Acesso02 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho33934 KiB
2. Contextualização
Autor1 Reis, Mariane Sousa
2 Dutra, Luciano Vieira
3 Sant'Anna, Sidnei João Siqueira
4 Escada, Maria Isabel Sobral
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHMA
3 8JMKD3MGP5W/3C9JJ8N
4 8JMKD3MGP5W/3C9JHRG
Grupo1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 mariane.reis@inpe.br
2 luciano.dutra@inpe.br
3 sidnei.santanna@inpe.br
4 isabel.escada@inpe.br
RevistaRemote Sensing
Volume9
Número1
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2017-03-07 13:53:24 :: simone -> administrator ::
2017-03-07 13:53:24 :: administrator -> simone :: 2016
2017-03-07 13:53:42 :: simone -> administrator :: 2016 -> 2017
2017-03-10 07:38:43 :: administrator -> simone :: 2017
2017-06-02 15:06:13 :: simone -> administrator :: 2017
2018-06-04 02:27:21 :: administrator -> simone :: 2017
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAmazon
Change detection
Multi-legend
Pixel based classification
Region based classification
ResumoPost-classification comparison is one of the most widely used change detection methods. However, it presents several operational problems that are often ignored, such as the occurrence of impossible transitions, difficulties in accuracy assessment and results not accurate enough for the purpose. This work aims to evaluate post-classification comparison change detection results obtained from LANDSAT5/TM data in a region of the Brazilian Amazon, using three legends in different levels of detail and both pixel wise and region based classifiers. A distinctive characteristic of the used approach is that each change mapping is the result of the combination of 100 land cover classifications for each date, obtained using varied training samples. This approach allowed to account for the training samples choice into the methodology, as well as the construction of confidence mappings. We presented and discussed different approaches for evaluating change results, such as the likelihood of land cover transitions occurring within the study area and time gap, the use of rectangular matrices to incorporate the occurrence of impossible or non evaluable changes and classification uncertainty. In general, change mappings obtained from region based classifications showed better results than the ones obtained from pixel based classifications. Globally, the use of region based approaches, in contrast to pixel based ones, led to an increase in accuracy of 15.5% for the change mapping from the most detailed legend, 7.8% for the one with the legend with intermediate level of detail and 3.6% for the less detailed one. In addition, individual transitions between land cover classes were better identified using region based approaches, with the exception of transitions from a non agriculture class to an agricultural one. The proposed quality mappings are useful to help to evaluate the change mappings, mainly in legend levels with higher level of detail and if reference samples are unreliable or unavailable. It was possible to access, in a spatially explicit way, that at least 29.0% of the pixel based change mapping and 21.9% of the region based one from the most detailed legend were erroneous classified, without ground truth information on the evaluated date. These values decreased to 0.5% and 1.4% (respectively the pixel and region based approaches) for results with the legend with the intermediate level of detail and are non existent in the results from the less detailed legend. The more generalized the legend (lower number of classes), the most similar are the accuracy of region and pixel based change mappings. These accuracy values also increase as fewer classes are considered in the legend, since similar classes are assembled during clustering, which reduces the overlap between groups. However, this accuracy is still low for operational purposes in areas with few changes, even considering the very high accuracy of the land cover classifications used to generate the change mappings (land cover classification with Overall Accuracy higher than 0.98 resulted in change mappings with Overall Accuracy around 0.83).
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Examining multi-legend change...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Examining multi-legend change...
Conteúdo da Pasta docacessar
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Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34P/3NFKS65
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3NFKS65
Idiomaen
Arquivo Alvoreis_examining.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Vinculação8JMKD3MGP5W34M/3GJ7LFB
Repositório Espelhosid.inpe.br/mtc-m21b/2013/09.26.14.25.22
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.53.50 2
sid.inpe.br/bibdigital/2013/09.09.15.05 2
sid.inpe.br/mtc-m21/2012/07.13.15.00.20 2
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype url
7. Controle da descrição
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