| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m16d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP7W/3ED8448 | |||
| Repository | sid.inpe.br/mtc-m19/2013/07.02.23.34 (restricted access) | |||
| Last Update | 2014:01.17.16.39.03 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m19/2013/07.02.23.34.32 | |||
| Metadata Last Update | 2018:06.05.04.14.32 (UTC) administrator | |||
| DOI | 10.1109/TGRS.2013.2268539 | |||
| ISSN | 0196-2892 | |||
| Label | self-archiving-INPE-MCTI-GOV-BR | |||
| Citation Key | ZanottaHaerShimRenn:2014:LiSpMi | |||
| Title | Linear spectral mixing model for identifying potential missing endmembers in spectral mixture analysis  | |||
| Year | 2014 | |||
| Access Date | 2024, May 18 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 853 KiB | |||
| 2. Context | ||||
| Author | 1 Zanotta, Daniel Capella 2 Haertel, Vitor 3 Shimabukuro, Yosio Edemir 4 Rennó, Camilo Daleles | |||
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJCQ 4 8JMKD3MGP5W/3C9JGN2 | |||
| Group | 1 SER-SRE-SPG-INPE-MCTI-GOV-BR 2 3 DSR-OBT-INPE-MCTI-GOV-BR 4 DPI-OBT-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Center for Remote Sensing, Federal University at Rio Grande do Sul, Porto Alegre, Brazil 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 daniel. zanotta@riogrande.ifrs.edu.br 2 victor.haertel@ufrgs.br 3 yosio@ltid.inpe.br 4 camilo@dpi.inpe.br | |||
| e-Mail Address | zanotta@dsr.inpe.br | |||
| Journal | IEEE Transactions on Geoscience and Remote Sensing | |||
| Volume | 52 | |||
| Number | 5 | |||
| Pages | 3005-3012 | |||
| Secondary Mark | A1_CIÊNCIAS_AGRÁRIAS_I A1_ENGENHARIAS_IV A1_GEOCIÊNCIAS A1_CIÊNCIA_DA_COMPUTAÇÃO A1_INTERDISCIPLINAR A1_GEOGRAFIA A2_MATEMÁTICA_/_PROBABILIDADE_E | |||
| History (UTC) | 2013-07-02 23:34:32 :: zanotta@dsr.inpe.br -> administrator :: 2013-07-12 13:51:40 :: administrator -> marcelo.pazos@sid.inpe.br :: 2013 2013-07-15 13:40:40 :: marcelo.pazos@sid.inpe.br -> administrator :: 2013 -> xxxx 2013-09-26 12:04:28 :: administrator :: xxxx -> 2013 2014-06-02 18:56:16 :: administrator :: 2013 -> 2014 2018-06-05 04:14:32 :: administrator -> marcelo.pazos@inpe.br :: 2014 | |||
| 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 | endmember extraction residual term spectral mixture analysis uncertainty | |||
| Abstract | A problem that is frequently arising in the spectral mixture analysis is how to correctly identify the endmembers present in the scene. In the analysis of image data covering natural scenes, vegetation, bare soil, and shade/water are commonly assumed as endmembers, but other endmembers may also be present. This paper investigates an approach based on the analysis of residuals produced by the linear spectral mixing model for identifying potential missing endmembers. The basic proposition consists in assuming that larger residuals are caused by missing endmembers. The image is segmented in terms of the residuals, and the KolmogorovSmirnov test is applied to group segments that show similar residuals and are thus likely to include the same missing endmember. An approach to estimate the spectral response of the missing endmembers is also investigated. The proposed methodology is tested by using Thematic Mapper Landsat and Coupled Charge Device ChinaBrazil Earth Resources Satellite image data. In addition to vegetation, bare soil, and shade/water, two additional endmembers were included as missing endmembers (clouds and water bodies with a large load of suspended sediments). The tests have shown that the proposed methodology is capable of detecting image regions that include missing endmembers and of correctly estimating the corresponding spectral responses. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Linear spectral mixing... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Linear spectral mixing... | |||
| Arrangement 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Linear spectral mixing... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| User Group | administrator marcelo.pazos@inpe.br self-uploading-INPE-MCTI-GOV-BR zanotta@dsr.inpe.br | |||
| Reader Group | administrator marcelo.pazos@inpe.br | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher allowfinaldraft | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Linking | 8JMKD3MGP5W34M/3G3F7H5 | |||
| Mirror Repository | iconet.com.br/banon/2006/11.26.21.31 | |||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/10.18.22.34 3 sid.inpe.br/bibdigital/2013/09.09.15.05 1 sid.inpe.br/mtc-m21/2012/07.13.14.42 1 | |||
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; IEEEXplore; SCOPUS. | |||
| Host Collection | sid.inpe.br/mtc-m19@80/2009/08.21.17.02 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | marcelo.pazos@inpe.br | |||
| update | ||||