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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/jeferson/2004/01.13.13.21   (restricted access)
Last Update2006:06.14.03.52.06 (UTC) administrator
Metadata Repositorysid.inpe.br/jeferson/2004/01.13.13.21.32
Metadata Last Update2018:06.04.04.12.50 (UTC) administrator
Secondary KeyINPE-10450-PRE/5940
Citation KeyCarvalhoJrCaGuLoGuMaPe:2003:ClHyIm
TitleClassification of Hyperspectral Image Using SCM Methods for Geobotanical Analysis in the Brazilian Savanna Region
Year2003
Access Date2024, May 05
Secondary TypePRE CI
Number of Files1
Size110 KiB
2. Context
Author1 Carvalho Junior, Osmar Abílio de
2 Carvalho, Ana Paula Ferreira de
3 Guimarães, Renato Fontes
4 Lopes, Richard Anderson Silva
5 Guimarães, Paulo Honório
6 Martins, Eder de Souza
7 Pedreno, José Navarro
Group1 DSR-INPE-MCT-BR
Affiliation1 UnB, Brasília - DF
2 Embrapa/CPAC, Planaltina - DF
3 Universidade Miguel Hernández de Elche, Espanha.
Conference NameInternational Geoscience and Remote Sensing Symposium, (IGARSS).
Conference LocationToulouse
Date21-25 July 2003
Pages3754-3756
Book TitleProceedings
History (UTC)2006-09-27 20:15:04 :: administrator -> jefferson ::
2008-05-02 14:59:58 :: jefferson -> administrator ::
2018-06-04 04:12:50 :: administrator -> marciana :: 2003
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordshyperspectral; Brazilian Savanna; Spectral Correlation
AbstractThis work presents a spectral analysis of natural targets behavior of Cerrado using an AVIRIS sensor image (Airborne Visible/InfraRed Imaging Spectrometer). The sensor AVIRIS was brought to Brazil in 1995 in the SCAR-B (Smoke, Clouds and Radiation - Brazil) mission with the purpose of evaluating atmospheric effects. This activity was accomplished by NASA, INPE (National Institute of Space Research) and AEB (Brazilian Space Agency). During the SCAR-B mission, the AVIRIS sensor acquired image of Goiás region, in August 16th 1995. The image used in this study presents geological structures that mark effects on the distribution of vegetation types. The aim of this work was to adapt and to test the employment of the spectral analysis in an AVIRIS hyperspectral image to differentiate vegetation patterns in order to compare with the geological structure. The atmospheric correction was performed using ATREM method (Atmosphere Removal Program) complemented by EFFORT (Empirical Flat Field Optical Reflectance Transformation) method. The endmembers were detected after the atmospheric correction according to the following steps: a) spectral reduction by the Minimum Noise Fraction (MNF) transformation, b) spatial reduction by the Pixel Purity Index (PPI) and c) manual identification of the members using the N-dimensional visualization device. The employment of this technique allowed selecting a spectral series related to vegetation. The spectral analysis showed three main groups: a) photosynthetic vegetation (PV), b) nonphotosynthetic vegetation (NPV) and c) burned vegetation. The spectral classification was done using the SCM (Spectral Correlation Mapper) method. The SCM algorithm is a spectral classifier that presents advantages over Spectral Angle Mapper and Spectral Feature Fitting methods due to the ability to detect false positive results. The SCM was performed in the study image using the selected endmember means (photosynthetic active vegetation, NPV and burned areas). In classified images the most similar areas presented lighter colors, while the correlated areas were darkened. The color composition of the SCM classified images allowed the detection of differences in the vegetation distribution, enhancing structural and geomorphologic features of the study site.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Classification of Hyperspectral...
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4. Conditions of access and use
Languageen
Target Fileclassification of hyperspectral.pdf
User Groupadministrator
Visibilityshown
Copy HolderSID/SCD
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Dissemination<E>
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
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