[en] Analysis of VNIR-SWIR hyperspectral images is presented to assist the development of a multi-sensor scanning system for Iberian Pyrite Belt Cu-Zn-Pb projects. Fisher Linear Discriminant and Linear Support Vector Classifier were used for supervised classification after pre-processing, spectral plotting and construction of false color composites. Validation is given by mean accuracy of confusion matrices for different scenarios considering parameters of practical applications in industrial settings. Interpretation indicates a different performance for shale and volcanic-hosted deposits. The results demonstrate the power of machine learning algorithms and hyperspectral databases applied to an automated technique to assist the traditional logging. Combined to other sensors, the methodology should be adapted to a drill-core scan in mining projects, delivering efficient and time-saving outcomes.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.