WorldView-3 Deep Learning alteration mineral mapping of the Cerro Casale gold-copper deposit
PhotoSat’s new Deep Learning alteration mineral mapping.
PhotoSat’s new Deep Learning alteration mineral mapping system produces much better spectral matches and fewer false positives than our previous more conventional engineering-style spectral processing. Over the past few months we have transitioned our satellite alteration mineral mapping to our new Deep Learning system.
PhotoSat initially developed a more conventional engineering style spectral matching solution for alteration mineral mapping from multi spectral satellite photos. In parallel with the development of the engineering-style system we developed the Deep Learning system. We have been developing Deep Learning processing tools for our stereo satellite survey grid production for the past two years.
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New Deep Learning alteration mineral mapping process
Cerro Casale Gold-Copper Deposit
Colour image of the 16 band WorldView-3 satellite photo of the Cerro Casale Au Cu porphyry deposit.
The Cerro Casale Au Cu Deposit was discovered in the 1980s.
The gold and copper in the Cerro Casale deposit is most directly associated with quartz-sulfide-magnetite stock work veins and veinlets in potassic altered rocks.
Detection of important alteration minerals
We have conducted Deep Learning alteration mineral mapping tests and verification on epithermal, porphyry and carbonate replacement deposits.
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