M Akhyani; M Kharqani; M Rahimi; F Sereshki
Abstract
The Torud - Chah Shirin volcanic-plutonic complex is located in the western part of Sabzevar Metallogenic Belt and in the south of Moaleman city in the Semnan province. The presence of several mineral occurrences, especially base metal veins of epithermal origin has increased the economic importance ...
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The Torud - Chah Shirin volcanic-plutonic complex is located in the western part of Sabzevar Metallogenic Belt and in the south of Moaleman city in the Semnan province. The presence of several mineral occurrences, especially base metal veins of epithermal origin has increased the economic importance of the magmatic complex for geological studies. The intrusion of igneous acidic to intermediate bodies in the volcanic rocks of the area has caused different alternation and mineralization in some parts of the area. In this research, various images processing methods such as false color composites (FCC), band ratios (BR) and spectral angle mapping (SAM) were performed on ASTER L1B VNIR+SWIR dataset, for discrimination of alteration zones in the Torud-Chah shirin magmatic arc. Alteration minerals like kaolinite, illite alunite, pyrophyllite, sericite, chlorite, epidote and calcite, which are associated with argillic, advanced argillic, phyllic and prophyllitic zones were recognized by processing aster dataset and highlighted altered area throughout the range. According to the field studies and XRD analysis, accuracy the results of spectral angle mapping and Band Ratio Logical Operator Algorithms evaluated by confusion matrix and kappa coefficient. Accuracy assessment shows an overall accuracy of 72% and 68% and a kappa coefficient of 0.627 and 0.6 respectively for spectral angle mapping and Band Ratio Logical Operator Algorithms for enhancing argillic and phyllic alteration zones in the study area. Therefore, the results show spectral angle mapping method achieved better results in compared to Band Ratio Logical Operator Algorithms.
M. H. Tangestani; L. Jafari
Abstract
Various atmospheric correction algorithms were performed on ASTER L1B VNIR+SWIR datasets, and the results were compared with calibrated AST-07 dataset to introduce the best method. Neyriz ophiolite was chosen as a test area for this purpose. ASTER VNIR+SWIR datasets were calibrated to apparent reflectance ...
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Various atmospheric correction algorithms were performed on ASTER L1B VNIR+SWIR datasets, and the results were compared with calibrated AST-07 dataset to introduce the best method. Neyriz ophiolite was chosen as a test area for this purpose. ASTER VNIR+SWIR datasets were calibrated to apparent reflectance using two techniques: 1-Absolute atmospheric correction methods including ATCOR-2 (Atmospheric correction), ATCOR-3 (Atmospheric and Topographic correction); 2- Relative atmospheric correction methods that included IARR (Internal Average Relative Reflectance), FF(Flat Field), EL(Empirical Line), LR(Log Residuals), DOS(Dark Object Subtraction), AR (Apparent Reflectance) and COS(t). Results were evaluated by principal components analysis (Image-based algorithm) and spectral angle mapping (spectrum-based algorithm). Field spectra were used as end-members and confusion matrix was used for comparing the results of spectral angle mapping. Results of calibrated images showed that applied methods could be ranked in descending order according to the achieved accuracy of enhancing rock units as ATCOR-3, AST-07، IARR، LR, SWIR data set (L1B) and other methods had low accuracy for enhancing rock units.
