|
Showing 1 - 6 of
6 matches in All Departments
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.
The oceans cover approximately 71% of Earth's surface, 90% of the
biosphere and contains 97% of Earth's water. Since the first launch
of SEASAT satellite in 1978, an increasing number of SAR satellites
have or will become available, such as the European Space Agency's
ERS-1/-2, ENVISAT, and Sentinel-1 series; the Canadian
RADARSAT-1/-2 and the upcoming RADARSAT Constellation Mission
series satellites; the Italian COSMO-SkyMed satellites, the German
TERRASAR-X and TANDEM-X, and the Chinese GAOFEN-3 SAR, among
others. Recently, European Space Agency has launched a new
generation of SAR satellites, Sentinel-1A in 2014 and Sentinel-1B
in 2016. These SAR satellites provide researchers with free and
open SAR images necessary to carry out their research on the global
oceans. The scope of Advances in SAR Remote Sensing of Oceans is to
demonstrate the types of information that can be obtained from SAR
images of the oceans, and the cutting-edge methods needed for
analysing SAR images. Written by leading experts in the field, and
divided into four sections, the book presents the basic principles
of radar backscattering from the ocean surface; introduces the
recent progresses in SAR remote sensing of dynamic coastal
environment and management; discusses the state-of-the-art methods
to monitor parameters or phenomena related to the dynamic ocean
environment; and deals specifically with new techniques and
findings of marine atmospheric boundary layer observations.
Advances in SAR Remote Sensing of Oceans is a very comprehensive
and up-to-date reference intended for use by graduate students,
researchers, practitioners, and R&D engineers working in the
vibrant field of oceans, interested to understand how SAR remote
sensing can support oceanography research and applications.
Principles of Synthetic Aperture Radar Imaging: A System Simulation
Approach demonstrates the use of image simulation for SAR. It
covers the various applications of SAR (including feature
extraction, target classification, and change detection), provides
a complete understanding of SAR principles, and illustrates the
complete chain of a SAR operation. The book places special emphasis
on a ground-based SAR, but also explains space and air-borne
systems. It contains chapters on signal speckle, radar-signal
models, sensor-trajectory models, SAR-image focusing,
platform-motion compensation, and microwave-scattering from random
media. While discussing SAR image focusing and motion compensation,
it presents processing algorithms and applications that feature
extraction, target classification, and change detection. It also
provides samples of simulation on various scenarios, and includes
simulation flowcharts and results that are detailed throughout the
book. Introducing SAR imaging from a systems point of view, the
author: Considers the recent development of MIMO SAR technology
Includes selected GPU implementation Provides a numerical analysis
of system parameters (including platforms, sensor, and image
focusing, and their influence) Explores wave-target interactions,
signal transmission and reception, image formation, motion
compensation Covers all platform motion compensation and error
analysis, and their impact on final image radiometric and geometric
quality Describes a ground-based SFMCW system Principles of
Synthetic Aperture Radar Imaging: A System Simulation Approach is
dedicated to the use, study, and development of SAR systems. The
book focuses on image formation or focusing, treats platform motion
and image focusing, and is suitable for students, radar engineers,
and microwave remote sensing researchers.
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 (R) 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 (R) 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 (R) 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.
Principles of Synthetic Aperture Radar Imaging: A System Simulation
Approach demonstrates the use of image simulation for SAR. It
covers the various applications of SAR (including feature
extraction, target classification, and change detection), provides
a complete understanding of SAR principles, and illustrates the
complete chain of a SAR operation. The book places special emphasis
on a ground-based SAR, but also explains space and air-borne
systems. It contains chapters on signal speckle, radar-signal
models, sensor-trajectory models, SAR-image focusing,
platform-motion compensation, and microwave-scattering from random
media. While discussing SAR image focusing and motion compensation,
it presents processing algorithms and applications that feature
extraction, target classification, and change detection. It also
provides samples of simulation on various scenarios, and includes
simulation flowcharts and results that are detailed throughout the
book. Introducing SAR imaging from a systems point of view, the
author: Considers the recent development of MIMO SAR technology
Includes selected GPU implementation Provides a numerical analysis
of system parameters (including platforms, sensor, and image
focusing, and their influence) Explores wave-target interactions,
signal transmission and reception, image formation, motion
compensation Covers all platform motion compensation and error
analysis, and their impact on final image radiometric and geometric
quality Describes a ground-based SFMCW system Principles of
Synthetic Aperture Radar Imaging: A System Simulation Approach is
dedicated to the use, study, and development of SAR systems. The
book focuses on image formation or focusing, treats platform motion
and image focusing, and is suitable for students, radar engineers,
and micr
The oceans cover approximately 71% of Earth's surface, 90% of the
biosphere and contains 97% of Earth's water. Since the first launch
of SEASAT satellite in 1978, an increasing number of SAR satellites
have or will become available, such as the European Space Agency's
ERS-1/-2, ENVISAT, and Sentinel-1 series; the Canadian
RADARSAT-1/-2 and the upcoming RADARSAT Constellation Mission
series satellites; the Italian COSMO-SkyMed satellites, the German
TERRASAR-X and TANDEM-X, and the Chinese GAOFEN-3 SAR, among
others. Recently, European Space Agency has launched a new
generation of SAR satellites, Sentinel-1A in 2014 and Sentinel-1B
in 2016. These SAR satellites provide researchers with free and
open SAR images necessary to carry out their research on the global
oceans. The scope of Advances in SAR Remote Sensing of Oceans is to
demonstrate the types of information that can be obtained from SAR
images of the oceans, and the cutting-edge methods needed for
analysing SAR images. Written by leading experts in the field, and
divided into four sections, the book presents the basic principles
of radar backscattering from the ocean surface; introduces the
recent progresses in SAR remote sensing of dynamic coastal
environment and management; discusses the state-of-the-art methods
to monitor parameters or phenomena related to the dynamic ocean
environment; and deals specifically with new techniques and
findings of marine atmospheric boundary layer observations.
Advances in SAR Remote Sensing of Oceans is a very comprehensive
and up-to-date reference intended for use by graduate students,
researchers, practitioners, and R&D engineers working in the
vibrant field of oceans, interested to understand how SAR remote
sensing can support oceanography research and applications.
|
|