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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier5PFmX3pFwXQZ35hoNjcx/AmwdH
Repositoryltid.inpe.br/fernanda/2003/12.04.09.57   (restricted access)
Last Update2003:12.04.11.57.04 (UTC) marciana
Metadata Repositoryltid.inpe.br/fernanda/2003/12.04.09.57.07
Metadata Last Update2021:02.24.02.57.11 (UTC) administrator
DOI10.1109/36.103288
ISSN0196-2892
Citation KeyShimabukuroSmit:1991:LeMiMo
TitleThe Least-Squares Mixing Models to Generate Fraction Images Derived From Remote Sensing Multispectral Data
Year1991
MonthJan.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size5013 KiB
2. Context
Author1 Shimabukuro, Yosio Edemir
2 Smith, James A.
Resume Identifier1 8JMKD3MGP5W/3C9JJCQ
Group1 DSR-INPE-MCT-BR
Affiliation1
2 NASA/Goddard Space Flight Center, Greenbelt, MD, United States
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume29
Number1
Pages16-20
History (UTC)2016-08-17 12:38:54 :: administrator -> marciana :: 1991
2016-11-05 22:25:42 :: marciana -> administrator :: 1991
2021-02-24 02:57:11 :: administrator -> marciana :: 1991
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsImage generation
Remote sensing
Least squares methods
Pixel
Soil
Satellites
Reflectivity
Instruments
Helium
Sensor phenomena and characterization
AbstractThe remote sensing instrumentation measures the spectral radiance reflected or emitted within its instantaneous field of view (IFOV). At target level, this means to sense the spectral radiance reflected or emitted by a finite target area (pixel). The pixel size in present-day remote sensing systems is large enough to include different types of land cover. The Constrained Least Squares (CLS) and Weighted Least Squares (WLS) mixing models to generate fraction images derived from remote sensing multispectral data are presented. An experiment considering three components within the pixelseucalyptus, soil (understory), and shadewas performed. The generated fraction images for shade (shade image) derived from these two methods were compared by considering the performance and computer time. The derived shade images are related to the observed variation in forest structure; i.e., the fraction of inferred shade in the pixel is related to different eucalyptus ages.
AreaSRE
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4. Conditions of access and use
Languageen
Target FileThe Least-Squares Mixing Models to Generate Fraction Images Derived From Remote Sensing Multispectral Data.PDF
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5. Allied materials
Next Higher Units8JMKD3MGPCW/3DUJDT8
8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.15.02.10 1
DisseminationWEBSCI; PORTALCAPES; IEEEXplore.
Host Collectionlcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
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