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Análise De Imagens Hiperespectrais Pelo Método Multiple Endmember Spectral Mixture Analysis (mesma) Em Depósito Supergênico De Níquel
| Content Provider | Semantic Scholar |
|---|---|
| Author | Júnior, Osmar Abílio De Carvalho Carvalho, Ana Paula Ferreira De Meneses, Paulo R. Guimarães, Renato Fontes Martins, Éder De Souza |
| Copyright Year | 2003 |
| Abstract | The hyperspectral remote sensing provides a large amount of data allowing the development computing methods to improve detection and quantification of the materials that compose a given scene. In that context, the Multiple Endmember Spectral Mixture Models (MESMA) is an approach of the Spectral Mixture Analysis, which defines the best-fit model to describe each pixel. A key problem in this method is the computational time expended. The Spectral Correlation Mapper (SCM) was applied for a pre-classification of the material in order to decrease the computational time. The MESMA routine was developed in IDL language to identify the best-fit models considering the least RMS error. This method was applied to for the Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS) subscene of Niquelândia, Goias, that includes a lateritic nickel mine. The main minerals present in the weathering profile are: pimelite, saponite, goethite, hematite and kaolinite. The results attest that the calculated relative abundance of the mineral corresponds with field data. |
| Starting Page | 63 |
| Ending Page | 74 |
| Page Count | 12 |
| File Format | PDF HTM / HTML |
| DOI | 10.5327/rbg.v33i1.1019 |
| Volume Number | 33 |
| Alternate Webpage(s) | http://www.ppegeo.igc.usp.br/index.php/rbg/article/download/9888/9175 |
| Alternate Webpage(s) | https://doi.org/10.5327/rbg.v33i1.1019 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
