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IDENTIFICATION OF INTRUSIVE MASSIFS IN THE NURATA MINERALIZED ZONES BASED ON SATELLITE IMAGES

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MAQOLA ANNOTATSIYASI

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The article presents the results of processing space images using PCA, ISODATA, K-Means and similar methods, as well as analysis based on GIS technologies. As a result of automatic and visual interpretation of the obtained images, intrusive complexes, linear and ring structures scattered throughout the Nurata region were identified. In particular, the result obtained by X-ray diffraction analysis proved that the composition of the 2R4G1B and 2R4G3B channels is one of the most effective methods for separating the intrusive massifs distributed in the region. Given that isolated intrusive massifs, linear and ring structures are directly related to gold mining zones in the Nurata region, the results obtained can be assessed as a cosmological criterion.

MUALIFLAR

Science ID: FBX-1225-0047

Teglar

# classification# photon# satellite image# PCA# principal component analysis# Nurata mineral zones# spectral channel# Isodata

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