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E-raamat: Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar

(Professor, Department of Informatics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala Darussalam, Banda Aceh, Indonesia)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 02-Dec-2021
  • Kirjastus: Elsevier Science Publishing Co Inc
  • Keel: eng
  • ISBN-13: 9780128218020
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Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture RadarSuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 02-Dec-2021
  • Kirjastus: Elsevier Science Publishing Co Inc
  • Keel: eng
  • ISBN-13: 9780128218020
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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

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

Distinguished Professor Dr. Maged Marghany, the visionary behind the innovative theory titled "Quantized Marghanys Front," currently holds the esteemed position of Director at Global Geoinformation in Malaysia. Acknowledged globally for his exceptional contributions, Dr. Marghany achieved recognition by Stanford University, USA, by being listed among the top 2% of scientists for four consecutive years - 2020, 2021, 2022, and 2023. Furthermore, his profound impact is reflected in the recognition of two of his books, which were acknowledged among the best genetic algorithm books of all time. Dr. Marghany's ongoing commitment to excellence continues to shape the landscape of scientific thought and geoinformation expertise.

Additionally, Dr. Maged Marghany achieved the remarkable distinction of being ranked first among oil spill scientists in a global list spanning the last 50 years, compiled by the prestigious Universidade Estadual de Feira de Santana in Brazil. His expertise also extended to the role of a prominent visiting professor at Syiah Kuala University in Indonesia.

In previous roles, Dr. Marghany directed the Institute of Geospatial Applications at the University of Geomatica College. His educational journey includes a post-doctoral degree in radar remote sensing, a PhD in environmental remote sensing, and a Master of Science in physical oceanography. With over 250 papers and influential books," Dr. Marghany s significant contributions shape global perspectives in remote sensing, geospatial applications, and environmental science.
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