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^ Ebook Polarimetric Scattering and SAR Information Retrieval, by Ya-Qiu Jin, Feng Xu

Ebook Polarimetric Scattering and SAR Information Retrieval, by Ya-Qiu Jin, Feng Xu

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Polarimetric Scattering and SAR Information Retrieval, by Ya-Qiu Jin, Feng Xu

Polarimetric Scattering and SAR Information Retrieval, by Ya-Qiu Jin, Feng Xu



Polarimetric Scattering and SAR Information Retrieval, by Ya-Qiu Jin, Feng Xu

Ebook Polarimetric Scattering and SAR Information Retrieval, by Ya-Qiu Jin, Feng Xu

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Polarimetric Scattering and SAR Information Retrieval, by Ya-Qiu Jin, Feng Xu

Taking an innovative look at Synthetic Aperture Radar (SAR), this practical reference fully covers new developments in SAR and its various methodologies and enables readers to interpret SAR imagery

An essential reference on polarimetric Synthetic Aperture Radar (SAR), this book uses scattering theory and radiative transfer theory as a basis for its treatment of topics. It is organized to include theoretical scattering models and SAR data analysis techniques, and presents cutting-edge research on theoretical modelling of terrain surface. The book includes quantitative approaches for remote sensing, such as the analysis of the Mueller matrix solution of random media, mono-static and bistatic SAR image simulation. It also covers new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, reconstruction of building objects from multi-aspect SAR images, and polarimetric pulse echoes from multi-layering scatter media.

Structured to encourage methodical learning, earlier chapters cover core material, whilst later sections involve more advanced new topics which are important for researchers. The final chapter completes the book as a reference by covering SAR interferometry, a core topic in the remote sensing community.

  • Features theoretical scattering models and SAR data analysis techniques
  • Explains the simulation of SAR images for mono- and bi-static radars, covering both qualitative and quantitative information retrieval
  • Chapter topics include: theoretical scattering models; SAR data analysis and processing techniques; and theoretical quantitative simulation reconstruction and inversion techniques
  • Structured to enable both academic learning and independent study, laying down the foundations first of all before advancing to more complex topics
  • Experienced author team presents mathematical derivations and figures so that they are easy for readers to understand 
  • Pitched at graduate-level students in electrical engineering, physics, earth and space sciences, as well as researchers
  • MATLAB code available for readers to run their own routines

An invaluable reference for research scientists, engineers and scientists working on polarimetric SAR hardware and software, Application developers of SAR and polarimetric SAR, remote sensing specialists working with SAR data – using ESA.

  • Published on: 2013-03-29
  • Released on: 2013-03-29
  • Format: Kindle eBook

From the Back Cover
An essential reference on polarimetric Synthetic Aperture Radar (SAR), this book uses scattering theory and radiative transfer theory as a basis for its treatment of topics. It is organized to include theoretical scattering models and SAR data analysis techniques, and presents cutting-edge research on theoretical modeling of terrain surface. The authors include quantitative approaches for remote sensing, such as the analysis of the Mueller matrix solution of random media, and mono-static and bistatic SAR image simulation. Jin and Xu also cover new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, reconstruction of building objects from multi-aspect SAR images, and polarimetric pulse echoes from multi-layering scatter media.

Structured to encourage methodical learning, earlier chapters cover core material, while later sections involve more advanced new topics which are important for researchers. The final chapter completes the book as a reference by covering SAR interferometry, a core topic in the remote sensing community.

The book is designed for researchers, engineers and scientists working on polarimetric SAR hardware and software, application developers of SAR and polarimetric SAR, and remote sensing specialists working with SAR data, using ESA, Radarsat and ALOS data. The book is also geared for a number of other related readers:

  • Users of the technology in agriculture, earth science, environmental sciences, forestry, oceanography
  • Students and specialists working in geomatics and using remote sensing data in hazardous areas for earthquakes, landslides, and floods
  • Graduate students in electric engineering, physics, earth and space sciences
  • Features theoretical scattering models and SAR data analysis techniques
  • Explains the simulation of SAR images for mono- and bi-static radars, covering both qualitative and quantitative information retrieval
  • Chapter topics include: theoretical scattering models; SAR data analysis and processing techniques; and theoretical quantitative simulation reconstruction and inversion techniques
  • Structured to enable both academic learning and independent study, laying down the foundations first of all before advancing to more complex topics
  • Experienced author team presents mathematical derivations and figures so that they are easy for readers to understand
  • Pitched at graduate-level students in electrical engineering, physics, earth and space sciences, as well as researchers
  • MATLAB code available for readers to run their own routines

About the Author

Ya-Qiu Jin, Fudan University, China
Professor Jin is Chair Professor and Director of the Key Lab of Wave Scattering and Remote Sensing Information, at Fudan University, Shanghai, China. He is an IEEE Fellow, a Fellow of the Electromagnetics Academy (USA) and CIE as well as being Chair of the IEEE Fellow Evaluation Committee (GRSS), a Member of IEEE GRSS AdCom, and Associate Editor of IEEE Transactions on Geoscience and Remote Sensing.

Feng Xu, Intelligent Automation, Inc, USA
Dr. Xu holds the post of Research Scientist at Intelligent Automation, Inc, Rockville, USA. He took his PhD at Fudan University in Shanghai, China and was a postdoctoral researcher at NOAA/NESDIS, USA, from 2008-2009.

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