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RSS FeedsRemote Sensing, Vol. 11, Pages 3003: Identification of Hydrothermal Alteration Minerals for Exploring Gold Deposits Based on SVM and PCA Using ASTER Data: A Case Study of Gulong (Remote Sensing)

 
 

13 december 2019 19:04:34

 
Remote Sensing, Vol. 11, Pages 3003: Identification of Hydrothermal Alteration Minerals for Exploring Gold Deposits Based on SVM and PCA Using ASTER Data: A Case Study of Gulong (Remote Sensing)
 


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.


 
213 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 3002: Filtering the NPP-VIIRS Nighttime Light Data for Improved Detection of Settlements in Africa (Remote Sensing)
Remote Sensing, Vol. 11, Pages 3000: Isolation Forests to Evaluate Class Separability and the Representativeness of Training and Validation Areas in Land Cover Classification (Remote Sensing)
 
 
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