| 1. Identificação | |
| Tipo de Referência | Artigo em Evento (Conference Proceedings) |
| Site | mtc-m16c.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 8JMKD3MGP8W/3BT7ED5 |
| Repositório | sid.inpe.br/mtc-m18/2012/05.16.17.29 |
| Última Atualização | 2012:05.16.17.29.11 (UTC) administrator |
| Repositório de Metadados | sid.inpe.br/mtc-m18/2012/05.16.17.29.11 |
| Última Atualização dos Metadados | 2018:06.04.03.55.38 (UTC) administrator |
| ISBN | 978-85-17-00059-1 |
| Chave de Citação | ZorteaSalbTrie:2012:ObClCl |
| Título | Object-based cloud and cloud shadow detection in Landsat images for tropical forest monitoring  |
| Formato | On-line. |
| Ano | 2012 |
| Data de Acesso | 04 maio 2024 |
| Tipo Secundário | PRE CI |
| Número de Arquivos | 1 |
| Tamanho | 1986 KiB |
| 2. Contextualização | |
| Autor | 1 Zortea, Maciel 2 Salberg, Arnt-Børre 3 Trier, Øivind Due |
| Endereço de e-Mail do Autor | 1 maciel.zortea@nr.no 2 arnt-borre.salberg 3 oivind.due.trierg@nr.no |
| Editor | Feitosa, Raul Queiroz Costa, Gilson Alexandre Ostwald Pedro da Almeida, Cláudia Maria de Fonseca, Leila Maria Garcia Kux, Hermann Johann Heinrich |
| Endereço de e-Mail | wanderf@dsr.inpe.br |
| Nome do Evento | International Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA). |
| Localização do Evento | Rio de Janeiro |
| Data | May 7-9, 2012 |
| Editora (Publisher) | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Cidade da Editora | São José dos Campos |
| Páginas | 326-331 |
| Título do Livro | Proceedings |
| Organização | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Histórico (UTC) | 2012-05-16 17:29:11 :: wanderf@dsr.inpe.br -> administrator :: 2012-05-30 13:43:49 :: administrator -> wanderf@dsr.inpe.br :: 2012 2012-06-01 15:12:43 :: wanderf@dsr.inpe.br -> marciana :: 2012 2012-06-12 14:28:24 :: marciana -> seki@dsr.inpe.br :: 2012 2012-06-13 15:55:30 :: seki@dsr.inpe.br -> marciana :: 2012 2012-06-14 15:03:56 :: marciana -> administrator :: 2012 2018-06-04 03:55:38 :: administrator -> :: 2012 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Palavras-Chave | Cloud detection shadows classification segmentation Landsat |
| Resumo | Clouds and cloud shadows often obscure parts of images acquired by optical space-borne sensors. The clouds and cloud shadows need to be detected and labeled as missing data. This enables subsequent methods to make their own decisions about how the missing data should be handled. Here we propose an automatic method to detect daytime cloud and cloud shadows in the context of tropical forest monitoring. In particular, we focus on Landsat 5 TM and Landsat 7 ETM+ images. In addition to the original bands, we investigate the use of additional spectral-derived features, based on pixel-wise differences, ratios, and maximum values derived for all combinations of pairs of top-of-the atmosphere reflectance bands. The subset of features retained for classification, and the boundaries of the classes in the feature space, were identified by optimizing the accuracy of the proposed method using samples collected from spatially disjoint scenes, acquired in different time periods, in an attempt to increase the generalization capability of the proposed approach when applied to unseen scenes. When a new image is to be classified, the idea is to first segment it locally using the Statistical Region Merging algorithm (Nock and Nielsen, 2004). Cloud and cloud shadow masks are then obtained by classifying the averaged pixel values, inside each segment, instead of individual pixels. Finally a simple cloud shape matching algorithm is used to reduce false detection of cloud shadow areas. We found that the proposed object-based technique reduces the spatial noise of the final classified map when compared to traditional single pixel classification. The accuracy of the proposed method appears to be comparable to two alternative algorithms selected for benchmark purposes. |
| Área | SRE |
| Tipo | Forest Analysis |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| URL dos dados | http://urlib.net/ibi/8JMKD3MGP8W/3BT7ED5 |
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP8W/3BT7ED5 |
| Idioma | en |
| Arquivo Alvo | 094.pdf |
| Grupo de Usuários | administrator wanderf@dsr.inpe.br |
| Visibilidade | shown |
| 5. Fontes relacionadas | |
| Repositório Espelho | urlib.net/www/2011/03.29.20.55 |
| Acervo Hospedeiro | sid.inpe.br/mtc-m18@80/2008/03.17.15.17 |
| 6. Notas | |
| Campos Vazios | affiliation archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume |