Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris

Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris

Release Date: June, 2020|Copyright: © 2020 |Pages: 334
DOI: 10.4018/978-1-7998-1920-2
ISBN13: 9781799819202|ISBN10: 1799819205|EISBN13: 9781799819226
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Description & Coverage
Description:

The tragic disappearance of the Malaysia Airlines Flight MH370 has created a need for research in the areas of aircraft transportation, and specifically flight debris tracking. As researchers and scientists continue to search for novel technologies that will assist with aeronautical detection, two modes have emerged as possible solutions. The use of remote sensing technology and genetic algorithms are techniques that scientists are beginning to use to improve aircraft trajectory models and to locate downed aircraft.

Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris is an essential reference source that discusses developing tracking methods using advanced algorithms as well as satellite technologies. Featuring research on topics such as wave pattern modeling, microwave satellite data, and trajectory movement, this book is ideally designed for practitioners, researchers, oceanographers, aerospace engineers, scientists, educators, developers, analysts, and students seeking coverage on advancements in sensor and tracking technology in regard to flight dynamics.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Aircraft Flight Dynamics
  • Airplane Detection Techniques
  • Microwave Satellite Data
  • Multi-Objective Algorithms
  • Ocean Flight Debris
  • Pareto Optimization
  • Remote Sensing
  • Satellite Sensors
  • Trajectory Movement
  • Wave Pattern Modeling
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Editor/Author Biographies

Maged Marghany is currently a Professor at Department of Informatics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala Darussalam, Banda Aceh, Indonesia. He is author of, Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting which is published by Routledge Taylor and Francis Group,CRC, Synthetic Aperture Radar Imaging Mechanism for Oil Spills, which is published by Elsevier, and Automatic Detection Algorithms of Oil Spill in Radar Images, which is published by Routledge Taylor and Francis Group, CRC. His research specializes in microwave remote sensing and remote sensing for mineralogy detection and mapping. Previously, he worked as a Deputy Director in Research and Development at the Institute of Geospatial Science and Technology and the Department of Remote Sensing, both at Universiti Teknologi Malaysia. Maged has earned many degrees including a post-doctoral in radar remote sensing from the International Institute for Aerospace Survey and Earth Sciences, a PhD in environmental remote sensing from the Universiti Putra Malaysia, a Master of Science in physical oceanography from the University Pertanian Malaysia, general and special diploma of Education and a Bachelor of Science in physical oceanography from the University of Alexandria in Egypt. Maged has published well over 250 papers in international conferences and journals and is active in International Geoinformatic, and the International Society for Photogrammetry and Remote Sensing (ISPRS).

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