Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris

Author:   Maged Marghany
Publisher:   IGI Global
ISBN:  

9781799819202


Pages:   334
Publication Date:   26 June 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris


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Overview

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.

Full Product Details

Author:   Maged Marghany
Publisher:   IGI Global
Imprint:   Business Science Reference
Dimensions:   Width: 21.60cm , Height: 2.10cm , Length: 27.90cm
Weight:   1.102kg
ISBN:  

9781799819202


ISBN 10:   1799819205
Pages:   334
Publication Date:   26 June 2020
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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