The role of aerocosmic research in metallogenic prediction (on the example of antimony-mercury ore formation deposits in Azerbaijan)

Mercury degassing is a global process. In geological development, it begins with the formation of deep fractures that can penetrate the great depths of the mantle. As the linearity lengthens, the temporal degassing and intensity of mercury weaken this connection with the depths of its individual parts and the Earth, or the period of strengthening of this connection will vary depending on the development of the characteristics observed. The concentration of mercury and antimony-mercury ores along the outer frame of circular and oval and other structures can most likely be explained by the Earth's total mercury degassing. In our opinion, the ideal situation is the junction of circular, oval, and other structures with linear nodes, where industrially important deposits of minerals can be formed. Key words: mercury, aerospace research, metallogenic prediction, minerals

Identification of Hydrothermal Alteration Minerals for Exploring Gold Deposits Based on SVM and PCA Using ASTER Data: A Case Study of Gulong

Dayaoshan, as an important metal ore-producing area in China, is faced with the dilemma of resource depletion due to long-term exploitation. In this paper, remote sensing methods are used to circle the favorable metallogenic areas and find new ore points for Gulong. Firstly, vegetation interference was removed by using mixed pixel decomposition method with hyperplane and genetic algorithm (GA) optimization; then, altered mineral distribution information was extracted based on principal component analysis (PCA) and support vector machine (SVM) methods; thirdly, the favorable areas of gold mining in Gulong was delineated by using the ant colony algorithm (ACA) optimization SVM model to remove false altered minerals; and lastly, field surveys verified that the extracted alteration mineralization information is correct and effective. The results show that the mineral alteration extraction method proposed in this paper has certain guiding significance for metallogenic prediction by remote sensing.