Remote Sensing and Image Processing in Mineralogy

Remote Sensing and Image Processing in Mineralogy provides a comprehensive guide to understanding and applying remote sensing imaging technology in mineralogy, oil, and gas explorations. It focuses on multispectral, hyperspectral, and microwave radar as key sources for analyzing geological features and extracting valuable information. The book covers advanced techniques such as quantum spectral mineral signature identifications and practical simulations of 4-D open-pit mining identification using hologram radar interferometry. It is an essential resource for mineralogy and petroleum engineers.

Format: Hardback
Length: 284 pages
Publication date: 03 March 2022
Publisher: Taylor & Francis Ltd

Remote Sensing and Image Processing in Mineralogy is a comprehensive guide that delves into the cutting-edge tools and techniques required to understand the latest advancements in remote sensing imaging for mineralogy, oil, and gas explorations. It specifically focuses on multispectral, hyperspectral, and microwave radar as the primary sources for comprehending, analyzing, and applying concepts in the field of mineralogy. By bridging the gap between modern physics, quantum theory, and image processing applications in remote sensing, this reference provides in-depth technical details related to the potential of multispectral, hyperspectral, and synthetic aperture radar (SAR). Additionally, the book includes essential methods for extracting valuable information, such as lineaments, gold, and copper minings. Furthermore, it unveils novel speculation on quantum spectral mineral signature identifications, known as quantized Marghanys mineral spectral or Marghany Quantum Spectral Algorithms for Mineral identifications (MQSA).

To enhance the practicality of the information presented, the book includes practical simulations of 4-D open-pit mining identification and monitoring using the hologram radar interferometry technique. This innovative approach offers a powerful new source of technology and applications for modern minerology and petroleum engineers.

Some of the key features of Remote Sensing and Image Processing in Mineralogy include:

• Development of new algorithms for retrieving mineral mining potential zones in remote sensing data.
• Solving specific problems surrounding the spectral signature libraries of different minerals in multispectral and hyperspectral data.
• Inclusion of over 200 equations that illustrate how to follow examples in the book.

By leveraging the power of remote sensing and image processing, this comprehensive guide empowers professionals in the mining and petroleum industries to extract valuable insights from geological data, optimize exploration strategies, and make informed decisions. Whether you are a researcher, engineer, or industry practitioner, Remote Sensing and Image Processing in Mineralogy is an essential resource for staying at the forefront of this rapidly evolving field.

Weight: 712g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367896706