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  • Radar Scattering and Imaging of Rough Surfaces: Modeling and Applications with MATLAB®

    Radar Scattering and Imaging of Rough Surfaces by Chen, Kun-Shan;

    Modeling and Applications with MATLAB®

    Series: SAR Remote Sensing;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 51.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        24 838 Ft (23 655 Ft + 5% VAT)
      • Discount 20% (cc. 4 968 Ft off)
      • Discounted price 19 870 Ft (18 924 Ft + 5% VAT)

    24 838 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    Focusing on most advanced analytical and numerical modeling, this book connects scattering process to imaging techniques by vivid examples through numerical and experimental demonstrations and provides computer codes and practical uses. This book is unique in treating radar scattering and imaging simultaneously.

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    Long description:

    Radar scattering and imaging of rough surfaces is an active interdisciplinary area of research with many practical applications in fields such as mineral and resource exploration, ocean and physical oceanography, military and national defense, planetary exploration, city planning and land use, environmental science, and many more. By focusing on the most advanced analytical and numerical modeling and describing both forward and inverse modeling, Radar Scattering and Imaging of Rough Surfaces: Modeling and Applications with MATLAB® connects the scattering process to imaging techniques by vivid examples through numerical and experimental demonstrations and provides computer codes and practical uses. This book is unique in its simultaneous treatment of radar scattering and imaging.



    Key Features





    • Bridges physical modeling with simulation for resolving radar imaging problems (the first comprehensive work to do so)



    • Provides excellent basic and advanced information for microwave remote-sensing professionals in various fields of science and engineering



    • Covers most advanced analytical and numerical modeling for both backscattering and bistatic scattering



    • Includes MATLAB® codes useful not only for academics but also for radar engineers and scientists to develop tools applicable in different areas of earth studies



    Covering both the theoretical and the practical, Radar Scattering and Imaging of Rough Surfaces: Modeling and Applications with MATLAB® is an invaluable resource for professionals and students using remote sensing to study and explain the Earth and its processes. University and research institutes, electrical and radar engineers, remote-sensing image users, application software developers, students, and academics alike will benefit from this book.



    The author, Kun-Shan Chen, is an internationally known and respected engineer and scientist and an expert in the field of electromagnetic modeling.

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    Table of Contents:

    1. Introduction 2. Statistical Description of Rough Surfaces 3. Basics of Electromagnetic Wave 4. Analytical Modeling of Rough Surface Scattering 5. Sensitivity Analysis of Radar Scattering of Rough Surface 6. Geophysical Parameters Estimation 7. Selected Model Applications to Remote Sensing 8. Radar Imaging Techniques 9. Computational Electromagnetic Imaging of Rough Surfaces 10. Advanced Topic: A Moon-Based Imaging of Earth’s Surface

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