Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar

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. Presents both theoretical and practical applications of various types of remote sensing for hydrocarbon and mineral exploration Covers specific problems for exploration professionals and provides applications for solving each problem Includes more than 100 images and figures to help explain the concepts and applications described in the book INDICE: 1. An Introduction to Minerals, Rocks, and Mineral Deposits 2. Structure Geology Associations with Mineral and Hydrocarbon Explorations 3. Conventional Exploration Methods 4. Overview of Remote Sensing for Mineral and Hydrocarbon Explorations 5. Mechanism of Microwave Remote Sensing in Geological Structure Imaging 6. Minerals and rocks observed under the Polarized Microwave Remote Sensing 7. Texture and Quantum Entropy Algorithms for Mineral and Hydrocarbon Explorations in Synthetic Aperture Radar Images 8. Mahalanobis Classifier and Neural Network Algorithms For Mineral exploration 9. Fractal Dimension Algorithm for Automatic Detection of Mineral Deposits 10. Quantum Wavelet Transform for Mineral and Hydrocarbon Explorations In SAR Images 11. Quantum Cellular Automata Algorithm for Automatic Detection of Mineral and Hydrocarbon Exploration Zones 12. Quantum Multiobjective Algorithm for  Oil Seep Detection from Synthetic Aperture Radar 13. Quantum Interferometry Radar for Oil and Gas Explorations

• ISBN: 978-0-12-821796-2
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 398
• Fecha Publicación: 06/12/2021
• Nº Volúmenes: 1
• Idioma: Inglés