%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.15.33.30
%2 sid.inpe.br/marte2/2017/10.27.15.33.31
%@isbn 978-85-17-00088-1
%F 60047
%T Identificação de minerais de titânio utilizando técnicas de espectroscopia de reflectância
%D 2017
%A Westphalen, André Bilibio,
%A Saldanha, Dejanira Luderitz,
%A Espinoza, Jean Marcel de Almeida,
%A Ortiz, Mauricio Soares,
%A Calliari, Lauro Júlio,
%@electronicmailaddress andre.westphalen@riogrande.ifrs.edu.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 5796-5803
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X This paper determines the identification of titaniun (Ti) found along the coastal region of Rio Grande do Sul through the spectral classification of satellite images of the Hyperion sensor. As a contribution, it demonstrates the possibility of building mineral mapping using satellite datafor coastal areas without vegetation cover. The methodology steps were: 1) bibliographic review to determine concentration values typical of the mineral of interest 2) selecting from a spectral library of signatures minerals of interest; 3) determination of the features characteristic for minerals of interest, generating endmember files; 4) obtaining and pre-processing of hyperspectral data from Hyperion to the study area; 5) reducing the dimensionality of the hyperspectral data analyzed in order to avoid redundancy and excess processing; 6) comparing the selected and endmembers this spectral response for each pixel of the image by using the spectral comparison technique known as first-derivative; 7) determination of the presence of minerals of titanium maps for the analyzed area; and 8) comparison between the results and those described in the literature. From this method, they built up thematic images indicating the presumed presence mineral per pixel, represented in scale concentration. The work exposed the use of orbital sensor data as an important mining support tool as well as the mapping of mineral resources over large areas.
%9 Geologia
%@language pt
%3 60047.pdf