Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/45150
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dc.contributor.authorVigneshkumar, M-
dc.contributor.authorYarrakula, Kiran-
dc.date.accessioned2018-10-10T06:35:43Z-
dc.date.available2018-10-10T06:35:43Z-
dc.date.issued2018-10-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/45150-
dc.description2100-2105en_US
dc.description.abstractThe SEM with EDXS analysis is performed to identify the chemical composition of Titanium metal in soil samples. To estimate the Titanium metal deposit in soil samples using hyperspectral data requires various processing steps such as bad bands removal, destriping, radiance generation, atmospheric correction, data dimensionality reduction, end member identification and classification. The absolute reflectance bands are generated using FLAASH module. The data dimensionality reduction for reflectance bands are carried out such as minimum noise fraction (MNF) and pixel purity index (PPI) respectively. Titanium metal deposit is identified using per pixel based classification depends on the end member spectral signatures.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.47(10) [October 2018]en_US
dc.subjectHyperionen_US
dc.subjectFLAASHen_US
dc.subjectMNFen_US
dc.subjectPPIen_US
dc.subjectTitaniumen_US
dc.titleTitanium metal identification in southern region of Tamil Nadu using hyperspectral imageryen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.47(10) [October 2018]

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