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Zhang K.,Hangzhou Dadi Technology Co. | Hong W.,Fujian Forest Ecological System Process and Management Key Laboratory | Wu C.-Z.,Fujian Forest Ecological System Process and Management Key Laboratory | Ding X.-X.,Huzhou Water Conservancy Bureau
Journal of Natural Disasters | Year: 2010

The modified projection pursuit method is a new method which directly optimizes the projection function and direction of projection pursuit method based on the modified simplex method, and using it the grade evaluation model of water-eroded desertification was set up,which could integrate the multi-dimensional grading index into onedimensional projection value. The water-eroded desertification samples collection could be reasonably graded according to the functional relation between projection value and experience grade value. The reults of eamples analysis show that application of the madified projection pursuit grade evaluation model derived directly by samples data to evaluation of water-eroded desertification is simple, feasible and maneuverable. This model could -be applied extensively to grading and estimating all kinds data. Source


Huang Z.-C.,Zhejiang University | Huang Z.-C.,Hangzhou Dadi Technology Co. | Xu W.-B.,Hangzhou Dadi Technology Co. | Kuai K.-F.,Hangzhou Dadi Technology Co. | Li S.,Hangzhou Dadi Technology Co.
Geological Bulletin of China | Year: 2014

Using remote sensing technique, the authors studied the remote sensing geological characteristics of copper-polymetallic deposits in Mount Isa, Australia. Based on the EMT image data, the authors summarized and analyzed the image features of regional stratigraphy, structure and magmatic rocks by using remote sensing geology and mineral resources interpretation in Mount Isa. Through investigating three typical copper-polymetallic deposits, such as the Mount Isa copper deposit, the remote sensing image characteristics of the ore-controlling factors were analyzed, and a remote sensing geological prospecting model was put forward for this type of copper-polymetallic deposits. According to this model, the authors determined a potential prospecting area which is matched well with remote sensing geological characteristics. On the basis of investigating and analyzing image data, the prospecting target area was delineated and further reduced, which could provide the guidance for reducing blindness in mining investment abroad. Source

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