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

English

By (author): Kun-Shan Chen

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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Current price €58.49
Original price €64.99
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A01=Kun-Shan ChenAge Group_UncategorizedAuthor_Kun-Shan Chenautomatic-updateCategory1=Non-FictionCategory=KNBWCategory=RBCategory=RGWCategory=TJFNCategory=TJKDCategory=UYTCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Temporarily unavailablePrice_€50 to €100PS=Activesoftlaunch

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Product Details
  • Weight: 560g
  • Dimensions: 156 x 234mm
  • Publication Date: 31 May 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9780367627997

About Kun-Shan Chen

Kun-Shan Chen earned a PhD in electrical engineering at the University of Texas at Arlington in 1990. From 1992 to 2014 he was a professor at the National Central University Taiwan. From 2014 to 2019 he was with the Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences China. Since 2019 he has been a professor at Guilin University of Technology where his research interests include microwave remote sensing theory modeling system and measurement and intelligent signal processing and data analytics for radar.He has authored or co-authored over 160 refereed journal papers contributed 10 book chapters co-authored (with A. K. Fung) Microwave Scattering and Emission Models for Users (Artech House 2010) authored Principles of Synthetic Aperture Radar: A System Simulation Approach (CRC Press 2015) and co-edited (with X. Li H. Guo X. Yang) Advances in SAR Remote Sensing of Ocean (CRC Press 2018).His academic activities include being a guest editor for a special issue on Remote Sensing for Major Disaster Prevention Monitoring and Assessment (2007) in IEEE Transactions on Geoscience and Remote Sensing a guest editor for the special issue on Remote Sensing for Natural Disaster (2012) in Proceedings of the IEEE IEEE GRSS Adcom member (20102014) a founding chair of the GRSS Taipei Chapter an associate editor of the IEEE Transactions on Geoscience and Remote Sensing since 2000 founding deputy editor-in-chief of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (20082010). He served as guest editor of the special issue of Data Restoration and Denoising of Remote Sensing Data and special issues of Radar Imaging Theory Techniques and Applications both for Remote Sensing and was co-chair of the Technical Committee for IGARSS 2016 and IGARSS 2017. He served as a member of the editorial board of the Proceedings of the IEEE (20142019) and has been a member of the editorial board of the IEEE Access since 2020. He is a Fellow of IEEE.

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