| Preface | 第1-15页 |
| Chapter 1 Introduction | 第15-23页 |
| ·The importance of mineral potential mapping | 第15-17页 |
| ·Review of previous works | 第17-18页 |
| ·Objectives | 第18-19页 |
| ·Tools | 第19-20页 |
| ·Organization of the thesis | 第20-23页 |
| Chapter 2 Geology, metallogeny, and geodynamics of Central Iran | 第23-37页 |
| ·Introduction | 第23-24页 |
| ·The geological evolution of Central Iran | 第24-27页 |
| ·Regional stratigraphy | 第27-29页 |
| ·Regional structures | 第29-31页 |
| ·Mineralization of iron oxide(P-U-Th-REE) in Central Iran | 第31-37页 |
| ·Distribution of rare earth elements | 第33-37页 |
| Chapter 3 Mineral deposit model for Fe, P, U, Th and REEs mineralization in Saghand-Chadormalu area | 第37-49页 |
| ·Introduction | 第37-39页 |
| ·State-of-the-Art: IGU; CGF; CRC; and Target and Explanatory variables | 第39-41页 |
| ·General Characteristics of Proterozoic iron oxide(Cu-U-Au-REE) type deposits | 第41-44页 |
| ·Critical recognition criteria for Proterozoic iron oxide P-U-Th-REE mineralization in Central Iran | 第44-49页 |
| ·Magmatogenetic mineralization of magnetite and Magnetite-apatite | 第45-46页 |
| ·Metasomatic iron, U, Th, REE, Ti and apatite ore mineralization | 第46-47页 |
| ·Hydrothermal subvolcanic related U, Mo, Au, Cu, Pb, Zn and As mineralization | 第47-48页 |
| ·Pb-Zn exhalative mineralization | 第48-49页 |
| Chapter 4 Geo-exploration datasets | 第49-61页 |
| ·Geological maps | 第49页 |
| ·Mineral deposits and indications | 第49-52页 |
| ·Topographic data | 第52-53页 |
| ·Geophysical datasets | 第53-61页 |
| ·Aeromagnetic data | 第53-56页 |
| ·Radiometric data | 第56-61页 |
| Chapter 5 Remote detection of mineralization indications | 第61-87页 |
| ·Introduction | 第61-62页 |
| ·Comparison of different methods on data fusion of ETM+ multispectral and pan image | 第62-70页 |
| ·Techniques used for data fusion | 第62-64页 |
| ·Fusion method comparison on spectral integrity and spatial resolution | 第64-70页 |
| ·Remote detection of metasomatic zones in Saghand ore district | 第70-84页 |
| ·Remote detection of metasomatic zones in Saghand ore district | 第71-81页 |
| ·Application of Selective PCA | 第76-77页 |
| ·Application of Crósta technique | 第77-79页 |
| ·Application of software defoliant Technique | 第79-80页 |
| ·Discussion of results of the selective PCA, Crósta and software defoliant techniques | 第80页 |
| ·Mineral imaging methodology using Landsat ETM+ and radiometric data | 第80-81页 |
| ·Application to Chadormalu-Zarigan, Khoshumi, and Neybaz areas | 第81-84页 |
| ·Structural mapping using ETM+ data | 第84-87页 |
| Chapter 6 Evaluation of geochemical data | 第87-105页 |
| ·Introduction | 第87-88页 |
| ·Fractal modeling and geochemical data analysis | 第88-90页 |
| ·Stream sediment geochemical data | 第90-92页 |
| ·Application of fractal C-A method to geochemical concentration values in Saghand-Chadormalu area | 第92-105页 |
| Chapter 7 Probabilistic mineral potential mapping | 第105-123页 |
| ·Introduction | 第105页 |
| ·Bayesian Probability Model | 第105-110页 |
| ·Favorability and conditional Probability of mineral deposit | 第106-108页 |
| ·Conditional Independence | 第108-110页 |
| ·Weights of evidence probability mapping in Saghand-Chadormalu area | 第110-121页 |
| ·Data inputs | 第111-112页 |
| ·Creation of binary evidential maps | 第112-114页 |
| ·Pairwise test of conditional independence | 第114-117页 |
| ·Combining binary evidential maps | 第117-121页 |
| ·Conclusions | 第121-123页 |
| Chapter 8 Fuzzy logic approach of mineral potential mapping | 第123-143页 |
| ·Introduction | 第123页 |
| ·Fuzzy set theory | 第123-126页 |
| ·Fuzzy predictive mapping of Proterozoic iron oxide(Cu-U-Au-REE) type deposits | 第126-140页 |
| ·Application to metasomatic Fe, U, Th, REE, Ti and apatite ore mineralization | 第126-132页 |
| ·Fuzzy sets of evidence | 第128-130页 |
| ·Integration of fuzzy sets | 第130-132页 |
| ·Application to magmatogenetic mineralization of magnetite and magnetite-apatite | 第132-135页 |
| ·Fuzzy sets of evidence | 第134页 |
| ·Integration of fuzzy sets | 第134-135页 |
| ·Application to hydrothermal subvolcanic related U, Mo, Au, Cu, Co, Pb, Zn, and As mineralization | 第135-140页 |
| ·Fuzzy sets of evidencel | 第136-139页 |
| ·Integration of fuzzy sets | 第139-140页 |
| ·Conclusions | 第140-143页 |
| Chapter 9 Logistic regression approach to mineral potential mapping | 第143-151页 |
| ·Introduction | 第143-144页 |
| ·Regression and Logistic regression model | 第144-145页 |
| ·Application of logistic regression to mineral potential mapping of Proterozoic mineralization in Saghand-Chadormalu area | 第145-150页 |
| ·Data inputs | 第146页 |
| ·Creation of binary predictor maps | 第146-147页 |
| ·Combining predictor maps | 第147-150页 |
| ·Conclusions | 第150-151页 |
| Chapter 10 Neural Network for Mineral Potential Mapping | 第151-161页 |
| ·Introduction | 第151-152页 |
| ·Radial basis functional link nets | 第152-155页 |
| ·Application of RBFLN to mineral potential mapping of Proterozoic mineralization in Saghand-Chadormalu area | 第155-158页 |
| ·Data inputs | 第155页 |
| ·Combining evidential maps | 第155-158页 |
| ·Conclusions | 第158-161页 |
| Chapter 11 Comparative analysis of predictive maps | 第161-167页 |
| ·Comparison of predictive maps | 第161-165页 |
| ·Target selection | 第165-167页 |
| Chapter 12 Conclusions | 第167-173页 |
| ·Mineral deposit model | 第167页 |
| ·Methods used for extraction of critical recognition criteria | 第167-169页 |
| ·Methods developed for predictive mapping of mineral potential | 第169-171页 |
| ·Recommendations | 第171-173页 |
| References | 第173-187页 |
| Color figures | 第187-195页 |
| Publications | 第195-196页 |
| Acknowledgements | 第196页 |
