Remote Sensing Image Processing Algorithms for Detecting Air Turbulence Patterns

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    Remote Sensing Image Processing Algorithms for Detecting Air Turbulence Patterns Author: Format: Hardback First Published: Published By: Taylor & Francis Ltd
    string(3) "364"
    Pages: 364 Illustrations and other contents: 13 Tables, black and white; 1 Line drawings, color; 129 Line drawings, black and white; 13 Halftones, color; 162 Halftones, black and white; 14 Illustrations, color; 291 Illustrations, black and white Language: English ISBN: 9781032344584 Category:

    Air turbulence related injuries and accidents have increased recently, giving rise to concern and interest in understanding and detecting air turbulence more accurately. Hardly any research in detection uses remote sensing images deals, and little attempt has been made to use optical and microwave remote sensing images for detection. Most works use conventional optical remote sensing data with classical methods such as a library spectral signature, band ratio, and principal component analysis. There is a big gap between research work in the field of air turbulence detection and advanced remote sensing technology. Only a few theories are operated in terms of software modules. Most software packages in remote sensing images cannot deal with advanced image processing techniques in air turbulence detections due to heavy mathematics work. This book provides new image processing procedures for air turbulence detection using advanced remote sensing images and quantum image processing. It attempts to fill a gap between advanced remote sensing technology and air turbulence detection. For instance, quantum image processing with a new generation of remote sensing technology such as RADARSAT-2 SAR images is also implemented to provide accurate air turbulence detections.

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    Author Biography

    Maged Marghany, Distinguished Professor, the visionary behind the innovative theory titled "Quantized Marghany's Front," is the Director at Safanad Information Technology in Malaysia. Dr. Marghany has been listed among the top 2% of scientists for four consecutive years—2020, 2021, 2022, and 2023 by Stanford University. Furthermore, his profound impact is reflected in the recognition of two of his books, acknowledged among the best genetic algorithm books of all time. Dr. Marghany's ongoing commitment 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. He was also 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 like "Advanced Remote Sensing Technology for Tsunami Modeling and Forecasting," Dr. Marghany's significant contributions shape global perspectives in remote sensing, geospatial applications, and environmental science.