Compressive Sensing for Urban Radar

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Author :
Publisher : CRC Press
ISBN 13 : 1466597852
Total Pages : 508 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Compressive Sensing for Urban Radar by : Moeness Amin

Download or read book Compressive Sensing for Urban Radar written by Moeness Amin and published by CRC Press. This book was released on 2017-12-19 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have hindered high resolution imaging by restricting both bandwidth and aperture, and by imposing uniformity and bounds on sampling rates. Compressive Sensing for Urban Radar is the first book to focus on a hybrid of two key areas: compressive sensing and urban sensing. It explains how reliable imaging, tracking, and localization of indoor targets can be achieved using compressed observations that amount to a tiny percentage of the entire data volume. Capturing the latest and most important advances in the field, this state-of-the-art text: Covers both ground-based and airborne synthetic aperture radar (SAR) and uses different signal waveforms Demonstrates successful applications of compressive sensing for target detection and revealing building interiors Describes problems facing urban radar and highlights sparse reconstruction techniques applicable to urban environments Deals with both stationary and moving indoor targets in the presence of wall clutter and multipath exploitation Provides numerous supporting examples using real data and computational electromagnetic modeling Featuring 13 chapters written by leading researchers and experts, Compressive Sensing for Urban Radar is a useful and authoritative reference for radar engineers and defense contractors, as well as a seminal work for graduate students and academia.

Compressive Sensing for Urban Radar

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Author :
Publisher : CRC Press
ISBN 13 : 1351831453
Total Pages : 510 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Compressive Sensing for Urban Radar by : Moeness Amin

Download or read book Compressive Sensing for Urban Radar written by Moeness Amin and published by CRC Press. This book was released on 2017-12-19 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have hindered high resolution imaging by restricting both bandwidth and aperture, and by imposing uniformity and bounds on sampling rates. Compressive Sensing for Urban Radar is the first book to focus on a hybrid of two key areas: compressive sensing and urban sensing. It explains how reliable imaging, tracking, and localization of indoor targets can be achieved using compressed observations that amount to a tiny percentage of the entire data volume. Capturing the latest and most important advances in the field, this state-of-the-art text: Covers both ground-based and airborne synthetic aperture radar (SAR) and uses different signal waveforms Demonstrates successful applications of compressive sensing for target detection and revealing building interiors Describes problems facing urban radar and highlights sparse reconstruction techniques applicable to urban environments Deals with both stationary and moving indoor targets in the presence of wall clutter and multipath exploitation Provides numerous supporting examples using real data and computational electromagnetic modeling Featuring 13 chapters written by leading researchers and experts, Compressive Sensing for Urban Radar is a useful and authoritative reference for radar engineers and defense contractors, as well as a seminal work for graduate students and academia.

Radar for Indoor Monitoring

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Publisher : CRC Press
ISBN 13 : 1351651382
Total Pages : 484 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Radar for Indoor Monitoring by : Moeness Amin

Download or read book Radar for Indoor Monitoring written by Moeness Amin and published by CRC Press. This book was released on 2017-09-14 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to capture recent advances and breakthroughs in in-home radar monitoring of human motions and activities. It addresses three key attributes of radar for in-door human monitoring, namely: motion classification including fall, detection of vital signs, and categorization of human gait for risk assessment and progression of physical impairments and disabilities. It explores recent developments in radar technology for human monitoring inside homes and residences. The reader will learn enhanced detection and classification techniques of radar signals associated with human micro- and macro-motions. Furthermore, the book includes examples using real data collected from healthy individuals, patients, and retirement communities based on the subject Doppler and range information, and using different single and multi-antenna radar system configurations. Results are also presented using modeled data based on biomechanics and kinematics. Indoor monitoring is further demonstrated using alternative technologies of infrared sensors and RF signals of opportunities.

Compressed Sensing in Radar Signal Processing

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Publisher : Cambridge University Press
ISBN 13 : 1108428290
Total Pages : 381 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Compressed Sensing in Radar Signal Processing by : Antonio De Maio

Download or read book Compressed Sensing in Radar Signal Processing written by Antonio De Maio and published by Cambridge University Press. This book was released on 2019-10-17 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about the latest theoretical and practical advances in radar signal processing using tools from compressive sensing.

Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging

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Author :
Publisher : Springer
ISBN 13 : 3319742833
Total Pages : 108 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging by : Michael Leigsnering

Download or read book Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging written by Michael Leigsnering and published by Springer. This book was released on 2018-02-16 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis reports on sparsity-based multipath exploitation methods for through-the-wall radar imaging. Multipath creates ambiguities in the measurements provoking unwanted ghost targets in the image. This book describes sparse reconstruction methods that are not only suppressing the ghost targets, but using multipath to one’s advantage. With adopting the compressive sensing principle, fewer measurements are required for image reconstruction as compared to conventional techniques. The book describes the development of a comprehensive signal model and some associated reconstruction methods that can deal with many relevant scenarios, such as clutter from building structures, secondary reflections from interior walls, as well as stationary and moving targets, in urban radar imaging. The described methods are evaluated here using simulated as well as measured data from semi-controlled laboratory experiments.

Through-the-Wall Radar Imaging

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Author :
Publisher : CRC Press
ISBN 13 : 1439814775
Total Pages : 604 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Through-the-Wall Radar Imaging by : Moeness G. Amin

Download or read book Through-the-Wall Radar Imaging written by Moeness G. Amin and published by CRC Press. This book was released on 2017-12-19 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through-the-wall radar imaging (TWRI) allows police, fire and rescue personnel, first responders, and defense forces to detect, identify, classify, and track the whereabouts of humans and moving objects. Electromagnetic waves are considered the most effective at achieving this objective, yet advances in this multi-faceted and multi-disciplinary technology require taking phenomenological issues into consideration and must be based on a solid understanding of the intricacies of EM wave interactions with interior and exterior objects and structures. Providing a broad overview of the myriad factors involved, namely size, weight, mobility, acquisition time, aperture distribution, power, bandwidth, standoff distance, and, most importantly, reliable performance and delivery of accurate information, Through-the-Wall Radar Imaging examines this technology from the algorithmic, modeling, experimentation, and system design perspectives. It begins with coverage of the electromagnetic properties of walls and building materials, and discusses techniques in the design of antenna elements and array configurations, beamforming concepts and issues, and the use of antenna array with collocated and distributed apertures. Detailed chapters discuss several suitable waveforms inverse scattering approaches and revolve around the relevance of physical-based model approaches in TWRI along with theoretical and experimental research in 3D building tomography using microwave remote sensing, high-frequency asymptotic modeling methods, synthetic aperture radar (SAR) techniques, impulse radars, airborne radar imaging of multi-floor buildings strategies for target detection, and detection of concealed targets. The book concludes with a discussion of how the Doppler principle can be used to measure motion at a very fine level of detail. The book provides a deep understanding of the challenges of TWRI, stressing its multidisciplinary and phenomenological nature. The breadth and depth of topics covered presents a highly detailed treatment of this potentially life-saving technology.

Sparse Representations for Radar with MATLAB Examples

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Author :
Publisher : Springer Nature
ISBN 13 : 3031015193
Total Pages : 71 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Sparse Representations for Radar with MATLAB Examples by : Peter Knee

Download or read book Sparse Representations for Radar with MATLAB Examples written by Peter Knee and published by Springer Nature. This book was released on 2022-05-31 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the field of sparse representations is relatively new, research activities in academic and industrial research labs are already producing encouraging results. The sparse signal or parameter model motivated several researchers and practitioners to explore high complexity/wide bandwidth applications such as Digital TV, MRI processing, and certain defense applications. The potential signal processing advancements in this area may influence radar technologies. This book presents the basic mathematical concepts along with a number of useful MATLAB® examples to emphasize the practical implementations both inside and outside the radar field. Table of Contents: Radar Systems: A Signal Processing Perspective / Introduction to Sparse Representations / Dimensionality Reduction / Radar Signal Processing Fundamentals / Sparse Representations in Radar

Compressed Sensing in Radar Signal Processing

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Author :
Publisher : Cambridge University Press
ISBN 13 : 110857694X
Total Pages : 381 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Compressed Sensing in Radar Signal Processing by : Antonio De Maio

Download or read book Compressed Sensing in Radar Signal Processing written by Antonio De Maio and published by Cambridge University Press. This book was released on 2019-10-17 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.

Recent Advancements in Radar Imaging and Sensing Technology

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Publisher : MDPI
ISBN 13 : 3036509186
Total Pages : 394 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Recent Advancements in Radar Imaging and Sensing Technology by : Piotr Samczynski

Download or read book Recent Advancements in Radar Imaging and Sensing Technology written by Piotr Samczynski and published by MDPI. This book was released on 2021-07-21 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this Printed Edition of Special Issue entitled "Recent Advancements in Radar Imaging and Sensing Technology” was to gather the latest research results in the area of modern radar technology using active and/or radar imaging sensing techniques in different applications, including both military use and a broad spectrum of civilian applications. As a result, the 19 papers that have been published highlighted a variety of topics related to modern radar imaging and microwave sensing technology. The sequence of articles included in the Printed Edition of Special Issue dealt with wide aspects of different applications of radar imaging and sensing technology in the area of topics including high-resolution radar imaging, novel Synthetic Apertura Radar (SAR) and Inverse SAR (ISAR) imaging techniques, passive radar imaging technology, modern civilian applications of using radar technology for sensing, multiply-input multiply-output (MIMO) SAR imaging, tomography imaging, among others.

2016 4th International Workshop on Compressed Sensing Theory and Its Applications to Radar, Sonar and Remote Sensing (CoSeRa) Took Place 19-23 September 2016 in Aachen, Germany

Download 2016 4th International Workshop on Compressed Sensing Theory and Its Applications to Radar, Sonar and Remote Sensing (CoSeRa) Took Place 19-23 September 2016 in Aachen, Germany PDF Online Free

Author :
Publisher :
ISBN 13 : 9781509029204
Total Pages : pages
Book Rating : 4.0/5 (292 download)

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Book Synopsis 2016 4th International Workshop on Compressed Sensing Theory and Its Applications to Radar, Sonar and Remote Sensing (CoSeRa) Took Place 19-23 September 2016 in Aachen, Germany by :

Download or read book 2016 4th International Workshop on Compressed Sensing Theory and Its Applications to Radar, Sonar and Remote Sensing (CoSeRa) Took Place 19-23 September 2016 in Aachen, Germany written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Study on Signal Detection and Recovery Methods with Joint Sparsity

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Author :
Publisher : Springer Nature
ISBN 13 : 9819941172
Total Pages : 135 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Study on Signal Detection and Recovery Methods with Joint Sparsity by : Xueqian Wang

Download or read book Study on Signal Detection and Recovery Methods with Joint Sparsity written by Xueqian Wang and published by Springer Nature. This book was released on 2023-09-30 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.

Advanced Ultrawideband Radar

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Publisher : CRC Press
ISBN 13 : 1466586605
Total Pages : 494 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Advanced Ultrawideband Radar by : James D. Taylor

Download or read book Advanced Ultrawideband Radar written by James D. Taylor and published by CRC Press. This book was released on 2016-12-19 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest theory, developments, and applications related to high resolution materials-penetrating sensor systems. An international team of expert researchers explains the problems and solutions for developing new techniques and applications. Subject areas include ultrawideband (UWB) signals propagation and scattering, materials-penetrating radar techniques for small object detection and imaging, biolocation using holographic techniques, tomography, medical applications, nondestructive testing methods, electronic warfare principles, through-the-wall radar propagation effects, and target identification through measuring the target return signal spectrum changes.

Signal Processing and Machine Learning for Biomedical Big Data

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Publisher : CRC Press
ISBN 13 : 149877346X
Total Pages : 624 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Signal Processing and Machine Learning for Biomedical Big Data by : Ervin Sejdic

Download or read book Signal Processing and Machine Learning for Biomedical Big Data written by Ervin Sejdic and published by CRC Press. This book was released on 2018-07-04 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere. This book’s material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications.

Multimedia Signals and Systems

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Author :
Publisher : Springer
ISBN 13 : 3319239503
Total Pages : 391 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Multimedia Signals and Systems by : Srdjan Stanković

Download or read book Multimedia Signals and Systems written by Srdjan Stanković and published by Springer. This book was released on 2015-12-21 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed for students, professionals and researchers in the field of multimedia and related fields with a need to learn the basics of multimedia systems and signal processing. Emphasis is given to the analysis and processing of multimedia signals (audio, images, and video). Detailed insight into the most relevant mathematical apparatus and transformations used in multimedia signal processing is given. A unique relationship between different transformations is also included, opening new perspectives for defining novel transforms in specific applications. Special attention is dedicated to the compressive sensing area, which has a great potential to contribute to further improvement of modern multimedia systems. In addition to the theoretical concepts, various standard and more recently accepted algorithms for the reconstruction of different types of signals are considered. Additional information and details are also provided to enable a comprehensive analysis of audio and video compression algorithms. Finally, the book connects these principles to other important elements of multimedia systems, such as the analysis of optical media, digital watermarking, and telemedicine. New to this edition: Introduction of the generalization concept to consolidate the time-frequency signal analysis, wavelet transformation, and Hermite transformation Inclusion of prominent robust transformation theory used in the processing of noisy multimedia data as well as advanced multimedia data filtering approaches, including image filtering techniques for impulse noise environment Extended video compression algorithms Detailed coverage of compressive sensing in multimedia applications

Compressive Sensing Based Algorithms for Electronic Defence

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Publisher : Springer
ISBN 13 : 331946700X
Total Pages : 184 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Compressive Sensing Based Algorithms for Electronic Defence by : Amit Kumar Mishra

Download or read book Compressive Sensing Based Algorithms for Electronic Defence written by Amit Kumar Mishra and published by Springer. This book was released on 2016-12-22 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense and warfare communication use. It provides a comprehensive background to the subject and at the same time describes some novel algorithms. It also investigates application value and performance-related parameters of compressive sensing in scenarios such as direction finding, spectrum monitoring, detection, and classification.

Multi-Dimensional Imaging with Synthetic Aperture Radar

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Author :
Publisher : Elsevier
ISBN 13 : 0128216573
Total Pages : 392 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Multi-Dimensional Imaging with Synthetic Aperture Radar by : Gianfranco Fornaro

Download or read book Multi-Dimensional Imaging with Synthetic Aperture Radar written by Gianfranco Fornaro and published by Elsevier. This book was released on 2024-02-12 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Dimensional Imaging with Synthetic Aperture Radar: Theory and Applications provides a complete description of principles, models and data processing methods, giving an introduction to the theory that underlies recent applications such as topographic mapping and natural risk situational awareness – seismic-tectonics, active volcano, landslides and subsidence monitoring - security, urban, wide area and infrastructure control. Imaging radars, specifically Synthetic Aperture Radar (SAR), generally mounted onboard satellites or airplanes, are able to provide systematic high-resolution imaging of the Earth's surface. Recent advances in the field has seen applications to natural risk monitoring and security and has driven the development of many operational systems. Explains the modeling and data processing involved in interferometric and tomographic SAR Shows the potential and limitations of using SAR technology in several applications Presents the link between basic signal processing concepts and state-of-the-art capabilities in imaging radars Explains the use of basic SAR processing tools and datasets

Meter-Wave Synthetic Aperture Radar for Concealed Object Detection

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Author :
Publisher : Artech House
ISBN 13 : 1630814466
Total Pages : 348 pages
Book Rating : 4.6/5 (38 download)

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Book Synopsis Meter-Wave Synthetic Aperture Radar for Concealed Object Detection by : Hans Hellsten

Download or read book Meter-Wave Synthetic Aperture Radar for Concealed Object Detection written by Hans Hellsten and published by Artech House. This book was released on 2017-05-31 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique resource presents the principles of meter wave ground imaging radar focusing on foliage penetration. Scattering of VHF/UHF radar signals are presented including the basic laws of electromagnetism, homogeneous media, media discontinuities/non-flat media discontinuities, and ground reflectivity. The book introduces meter wavelength synthetic aperture radar, bandwidth, and SAR imaging principles, including moving objects and also compares collected SAR data. Meter wavelength SAR system design and processing is explored, highlighting low frequency SAR design aspects, characterization of additive noise, antenna system basics, waveforms and emission adaptation which is critical material to the advancement in sensors and signal processing for below ground imaging by the energy industry and governments worldwide. The FFBP method of processing, explicit treatment of base 2 FFBP is explained along with motion errors sensitivity and motion estimation methods. The book also explains the Bayesian change detection, covariance moving target extraction and polarimetric subsurface imaging.