Algorithms For Synthetic Aperture Radar Imagery V
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Algorithms For Synthetic Aperture Radar Imagery V
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Author : Edmund G. Zelnio
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 1998
Algorithms For Synthetic Aperture Radar Imagery V written by Edmund G. Zelnio and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
A presentation of algorithms for synthetic aperture radar imagery. It studies: image formation; image registration and fusion; image quality assessment; and feature extraction.
Algorithms For Synthetic Aperture Radar Imagery
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Author :
language : en
Publisher:
Release Date : 2005
Algorithms For Synthetic Aperture Radar Imagery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computer algorithms categories.
Synthetic Aperture Radar Image Processing Algorithms For Nonlinear Oceanic Turbulence And Front Modeling
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Author : Maged Marghany
language : en
Publisher: Elsevier
Release Date : 2024-07-09
Synthetic Aperture Radar Image Processing Algorithms For Nonlinear Oceanic Turbulence And Front Modeling written by Maged Marghany and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-09 with Science categories.
Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modelling is both a research- and practice-based reference that bridges the gap between the remote sensing field and the dynamic oceanography exploration field. In this perspective, the book explicates how to apply techniques in synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for oceanic turbulence and front simulation and modelling. The book includes detailed algorithms to enable readers to better understand and implement the practices covered in their own work and apply QInSAR to their own research.This multidisciplinary reference is useful for researchers and academics in dynamic oceanography and modelling, remote sensing and aquatic science, as well as geographers, geophysicists, and environmental engineers - Details the potential of synthetic aperture radar in imaging ocean surface dynamical features - Includes detailed algorithms and methods, allowing readers to develop their own computer algorithms - Covers the latest applications of quantum image processing
Algorithms For Synthetic Aperture Radar Imagery X
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Author : Edmund G. Zelnio
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 2003
Algorithms For Synthetic Aperture Radar Imagery X written by Edmund G. Zelnio and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
Algorithms For Synthetic Aperture Radar Imagery
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Author : Dominick A. Giglio
language : en
Publisher:
Release Date : 1994
Algorithms For Synthetic Aperture Radar Imagery written by Dominick A. Giglio and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Algorithms For Synthetic Aperture Radar Imagery Ii
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Author : Dominick A. Giglio
language : en
Publisher:
Release Date : 1995
Algorithms For Synthetic Aperture Radar Imagery Ii written by Dominick A. Giglio and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Inverse Synthetic Aperture Radar Imaging With Matlab Algorithms
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Author : Caner Ozdemir
language : en
Publisher: John Wiley & Sons
Release Date : 2021-05-04
Inverse Synthetic Aperture Radar Imaging With Matlab Algorithms written by Caner Ozdemir and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-04 with Technology & Engineering categories.
Build your knowledge of SAR/ISAR imaging with this comprehensive and insightful resource The newly revised Second Edition of Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms covers in greater detail the fundamental and advanced topics necessary for a complete understanding of inverse synthetic aperture radar (ISAR) imaging and its concepts. Distinguished author and academician, Caner Özdemir, describes the practical aspects of ISAR imaging and presents illustrative examples of the radar signal processing algorithms used for ISAR imaging. The topics in each chapter are supplemented with MATLAB codes to assist readers in better understanding each of the principles discussed within the book. This new edition incudes discussions of the most up-to-date topics to arise in the field of ISAR imaging and ISAR hardware design. The book provides a comprehensive analysis of advanced techniques like Fourier-based radar imaging algorithms, and motion compensation techniques along with radar fundamentals for readers new to the subject. The author covers a wide variety of topics, including: Radar fundamentals, including concepts like radar cross section, maximum detectable range, frequency modulated continuous wave, and doppler frequency and pulsed radar The theoretical and practical aspects of signal processing algorithms used in ISAR imaging The numeric implementation of all necessary algorithms in MATLAB ISAR hardware, emerging topics on SAR/ISAR focusing algorithms such as bistatic ISAR imaging, polarimetric ISAR imaging, and near-field ISAR imaging, Applications of SAR/ISAR imaging techniques to other radar imaging problems such as thru-the-wall radar imaging and ground-penetrating radar imaging Perfect for graduate students in the fields of electrical and electronics engineering, electromagnetism, imaging radar, and physics, Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms also belongs on the bookshelves of practicing researchers in the related areas looking for a useful resource to assist them in their day-to-day professional work.
Advanced Algorithms For Mineral And Hydrocarbon Exploration Using Synthetic Aperture Radar
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Author : Maged Marghany
language : en
Publisher: Elsevier
Release Date : 2021-12-02
Advanced Algorithms For Mineral And Hydrocarbon Exploration Using Synthetic Aperture Radar written by Maged Marghany and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Science categories.
Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar is a research- and practically-based reference that bridges the gap between the remote sensing industry and the mineral and hydrocarbon exploration industry. In this context, the book explains how to commercialize the applications of synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for mineral and hydrocarbon exploration. This multidisciplinary reference is useful for oil and gas companies, the mining industry, geoscientists, and coastal and petroleum engineers. - Presents both theoretical and practical applications of various types of remote sensing for hydrocarbon and mineral exploration - Covers specific problems for exploration professionals and provides applications for solving each problem - Includes more than 100 images and figures to help explain the concepts and applications described in the book
Radar Signal Processing And Its Applications
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Author : Jian Li
language : en
Publisher: Springer
Release Date : 2013-12-21
Radar Signal Processing And Its Applications written by Jian Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-21 with Science categories.
Radar Signal Processing and Its Applications brings together in one place important contributions and up-to-date research results in this fast-moving area. In twelve selected chapters, it describes the latest advances in architectures, design methods, and applications of radar signal processing. The contributors to this work were selected from the leading researchers and practitioners in the field. This work, originally published as Volume 14, Numbers 1-3 of the journal, Multidimensional Systems and Signal Processing, will be valuable to anyone working or researching in the field of radar signal processing. It serves as an excellent reference, providing insight into some of the most challenging issues being examined today.
Synthetic Aperture Radar Sar Data Applications
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Author : Maciej Rysz
language : en
Publisher: Springer Nature
Release Date : 2023-01-18
Synthetic Aperture Radar Sar Data Applications written by Maciej Rysz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-18 with Mathematics categories.
This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Aperture Radar (SAR). Integrating interdisciplinary sciences, the book features novel ideas, quantitative methods, and research results, promising to advance computational practices and technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Current and emerging applications of SAR data for earth observation, object detection and recognition, change detection, navigation, and interference mitigation are highlighted. Cutting edge methods, with particular emphasis on machine learning, are included. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding feature extraction and training schemes are considered. State-of-the-art neural network architectures in SAR-aided navigation are compared and discussed further. Advanced empirical and machine learning models in retrieving land and ocean information — wind, wave, soil conditions, among others, are also included.