| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/3RAQR5S |
| Repository | sid.inpe.br/plutao/2018/06.19.04.19.36 (restricted access) |
| Last Update | 2018:06.20.12.50.53 (UTC) lattes |
| Metadata Repository | sid.inpe.br/plutao/2018/06.19.04.19.37 |
| Metadata Last Update | 2020:10.01.15.57.54 (UTC) administrator |
| ISSN | 0520-4062 |
| Label | lattes: 8997858562195060 3 DuránPereKupl:2018:IdEsMa |
| Citation Key | DuránPereKupl:2018:IdEsMa |
| Title | Identificação espectral de materiais urbanos com a técnica Mapeador de Ângulo Espectral (SAM) e o sensor de alta resolução espacial GEOEYE-1  |
| Year | 2018 |
| Access Date | 2024, May 19 |
| Type of Work | journal article |
| Secondary Type | PRE PN |
| Number of Files | 1 |
| Size | 1657 KiB |
| 2. Context | |
| Author | 1 Durán, Gloria 2 Pereira Filho, Waterloo 3 Kuplich, Tatiana Mora |
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJ9P |
| Group | 1 2 3 CRCRS-COCRE-INPE-MCTIC-GOV-BR |
| Affiliation | 1 2 Universidade Federal de Santa Maria (UFSM) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 gloriab.ucv@gmail.com 2 waterloopf@gmail.com 3 tatiana.kuplich@inpe.br |
| Journal | Boletim Geográfico do Rio Grande do Sul |
| Volume | 31 |
| Pages | 9-34 |
| History (UTC) | 2018-06-19 04:19:37 :: lattes -> administrator :: 2018-06-19 11:34:30 :: administrator -> lattes :: 2018 2018-06-20 12:50:54 :: lattes -> administrator :: 2018 2020-10-01 15:57:54 :: administrator -> simone :: 2018 |
| 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 | Comportamento Espectral Sensoriamento Remoto Áreas Urbanas. Spectral Angle Mapper GeoEye-1 Spectral Characterization Remote sensing Urban Areas Spectral Angle Mapper GeoEye-1 |
| Abstract | As áreas urbanas são constituídas por um conjunto diversificado de materiais fabricados e naturais, dispostos de forma complexa pelo homem para sua sobrevivência. O sensoriamento remoto é uma ferramenta com potencial para obtenção de dados espectrais de materiais urbanos e suas condições. Neste trabalho, foi avaliada a potencialidade de identificação espectral dos materiais urbanos numa imagem multiespectral GeoEye-1 utilizando a técnica de mapeamento espectral SAM (Spectral Angle Mapper), que determina a similaridade espectral entre as curvas espectrais de vários píxeis, calculando um angulo entre eles, sendo que a variação angular possibilita discriminar feições espectrais dos alvos. Os resultados obtidos mostraram que a técnica SAM, permitiu a identificação das características espectrais de alvos fabricados e naturais com algumas limitações devido principalmente à heterogeneidade de alvos urbanos e mistura espectral. Assim foi possível a identificação de alvos urbanos com exatidão maior a 50%. A imagem GeoEye-1 proporciona uma aproximação à identificação de padrões intraurbanos considerando a resposta espectral dos alvos, mas pode ser aperfeiçoado utilizando imagens hiperespectrais assim como outros métodos de classificação que considerem padrões de forma, textura e comportamento espectral. ABSTRACT: The urban areas are made up of a diverse set of manufactured and natural materials, arranged in a complex way by man for his survival. Remote sensing is a tool used to obtain spectral data of urban materials and their conditions. In this work, the potential of spectral identification of urban materials in a GeoEye-1 multispectral image was evaluated using the Spectral Angle Mapper (SAM) technique, which determines the spectral similarity between multi-pixel spectral curves. An angle between spectral curves and its variation are calculated, allowing discrimination between targets. The results showed that the SAM technique allowed identification of the spectral characteristics of manufactured and natural targets, although with some limitations mainly due to heterogeneity of urban targets and spectral mixing. It was possible to identify urban targets with an accuracy greater than 50%. The GeoEye-1 image provides the identification of intra-urban patterns considering the spectral response of the targets, but results can be improved using hyperspectral images and a combination of spectral techniques with classification methods that consider patterns of shape and texture. |
| Area | SRE |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRS > Identificação espectral de... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | pt |
| Target File | duran_identificacao.pdf |
| User Group | lattes |
| Reader Group | administrator lattes |
| Visibility | shown |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3EUFCFP |
| URL (untrusted data) | https://revistas.fee.tche.br/index.php/boletim-geografico-rs/article/view/4011/3976 |
| Dissemination | PORTALCAPES |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel doi e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |