Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar is a research- and practically-based reference that bridges the gap between the remote sensing industry and the mineral and hydrocarbon exploration industry. In this context, the book explains how to commercialize the applications of synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for mineral and hydrocarbon exploration. This multidisciplinary reference is useful for oil and gas companies, the mining industry, geoscientists, and coastal and petroleum engineers.
1. Chapter 1 An introduction to minerals, rocks, and mineral deposits - p. 1 2. Chapter 2 Structural geology of mineral, oil and gas explorations - p. 31 3. Chapter 3 Theories of microwave synthetic aperture radar - p. 81 4. Chapter 4 Marghany Adaptive Modification Algorithm for lineament automatic detection in Synthetic aperture radar data - p. 113 5. Chapter 5 Mechanism of imaging structural geology features in synthetic aperture radar - p. 139 6. Chapter 6 Retrieving Minerals and Rocks in polarimetry Microwave Remote Sensing data - p. 171 7. Chapter 7 Texture and quantum entropy algorithms for mineral and hydrocarbon explorations in synthetic aperture radar images - p. 203 8. Chapter 8 Mahalanobis classifier and neural network algorithms for mineral exploration - p. 225 9. Chapter 9 Fractal dimension algorithm for automatic detection of gold mineralization - p. 251 10. Chapter 10 Quantum finite automaton algorithm for mineral and hydrocarbon exploration in Sentinel-1A SAR data - p. 277 11. Chapter 11 Quantum cellular automata algorithm for automatic detection of hydrocarbon exploration zones - p. 301 12. Chapter 12 Multiobjective quantum evolutionary algorithm for oil seep detection from synthetic aperture radar - p. 325 13. Chapter 13 Four-dimensional radar quantum interferometry for oil and gas explorations - p. 345 14. Index - p. 373
Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar is a research- and practically-based reference that bridges the gap between the remote sensing industry and the mineral and hydrocarbon exploration industry. In this context, the book explains how to commercialize the applications of synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for mineral and hydrocarbon exploration. This multidisciplinary reference is useful for oil and gas companies, the mining industry, geoscientists, and coastal and petroleum engineers.
1. Chapter 1 An introduction to minerals, rocks, and mineral deposits - p. 1 2. Chapter 2 Structural geology of mineral, oil and gas explorations - p. 31 3. Chapter 3 Theories of microwave synthetic aperture radar - p. 81 4. Chapter 4 Marghany Adaptive Modification Algorithm for lineament automatic detection in Synthetic aperture radar data - p. 113 5. Chapter 5 Mechanism of imaging structural geology features in synthetic aperture radar - p. 139 6. Chapter 6 Retrieving Minerals and Rocks in polarimetry Microwave Remote Sensing data - p. 171 7. Chapter 7 Texture and quantum entropy algorithms for mineral and hydrocarbon explorations in synthetic aperture radar images - p. 203 8. Chapter 8 Mahalanobis classifier and neural network algorithms for mineral exploration - p. 225 9. Chapter 9 Fractal dimension algorithm for automatic detection of gold mineralization - p. 251 10. Chapter 10 Quantum finite automaton algorithm for mineral and hydrocarbon exploration in Sentinel-1A SAR data - p. 277 11. Chapter 11 Quantum cellular automata algorithm for automatic detection of hydrocarbon exploration zones - p. 301 12. Chapter 12 Multiobjective quantum evolutionary algorithm for oil seep detection from synthetic aperture radar - p. 325 13. Chapter 13 Four-dimensional radar quantum interferometry for oil and gas explorations - p. 345 14. Index - p. 373
