Download or read book InSAR Signal and Data Processing written by Mengdao Xing and published by . This book was released on 2020 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Synthetic aperture radar (SAR) interferometry (InSAR) is an important remote sensing technology used for topographic mapping and deformation monitoring, and has created a new type of radar datum that has significantly evolved during the last couple of decades. This book includes the latest InSAR studies published in the Special Issue “InSAR Signal and Data Processing” of Sensors. We hope that readers of all levels will be able to gain a better understanding of InSAR as well as the when, how, and why of applying this technology.
Download or read book InSAR Signal and Data Processing written by Mengdao Xing and published by . This book was released on 2020-09-04 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Synthetic aperture radar (SAR) interferometry (InSAR) is an important remote sensing technology used for topographic mapping and deformation monitoring, and has created a new type of radar datum that has significantly evolved during the last couple of decades. This book includes the latest InSAR studies published in the Special Issue "InSAR Signal and Data Processing" of Sensors. We hope that readers of all levels will be able to gain a better understanding of InSAR as well as the when, how, and why of applying this technology.
Download or read book Advances in Signal and Data Processing written by S. N. Merchant and published by Springer Nature. This book was released on 2021-01-11 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the select peer-reviewed proceedings of the International Conference on Signal and Data Processing (ICSDP) 2019. It examines and deliberates on the recent progresses in the areas of communication and signal processing. The book includes topics on the recent advances in the areas of wired and wireless communication, low complexity architecture of MIMO receivers, applications on wireless sensor networks and internet of things, signal processing, image processing and computer vision, VLSI embedded systems, cognitive networks, power electronics and automation, mechatronics based applications, systems and control, cognitive science and machine intelligence, information security and big data. The contents of this book will be useful for beginners, researchers, and professionals interested in the area of communication, signal processing, and allied fields.
Download or read book Radar Interferometry written by Ramon F. Hanssen and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the product of five and a half years of research dedicated to the und- standing of radar interferometry, a relatively new space-geodetic technique for m- suring the earth’s topography and its deformation. The main reason for undertaking this work, early 1995, was the fact that this technique proved to be extremely useful for wide-scale, fine-resolution deformation measurements. Especially the interf- ometric products from the ERS-1 satellite provided beautiful first results—several interferometric images appeared as highlights on the cover of journals such as Nature and Science. Accuracies of a few millimeters in the radar line of sight were claimed in semi-continuous image data acquired globally, irrespective of cloud cover or solar illumination. Unfortunately, because of the relative lack of supportive observations at these resolutions and accuracies, validation of the precision and reliability of the results remained an issue of concern. From a geodetic point of view, several survey techniques are commonly available to measure a specific geophysical phenomenon. To make an optimal choice between these techniques it is important to have a uniform and quantitative approach for describing the errors and how these errors propagate to the estimated parameters. In this context, the research described in this book was initiated. It describes issues involved with different types of errors, induced by the sensor, the data processing, satellite positioning accuracy, atmospheric propagation, and scattering character- tics. Nevertheless, as the first item in the subtitle “Data Interpretation and Error Analysis” suggests, data interpretation is not always straightforward.
Download or read book Bistatic SAR System and Signal Processing Technology written by Robert Wang and published by Springer. This book was released on 2017-12-26 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports the latest results in the study of Bistatic/Multistatic SAR system and signal processing techniques. Novel research ideas and experimental verification have been collected on all kinds of configurations of Bistatic/Multistatic SAR system, including the preliminary construction of system model, imaging algorithm design, mission design and the corresponding application representations etc. Handy well-prepared tables are provided for readers’ quick-reference, and the practical design of an interferometric SAR system is illustrated step by step. The book will be of interest to university researchers, R&D engineers and graduate students in Remote Sensing who wish to learn the core principles, methods, algorithms, and applications of Bistatic/Multistatic SAR system.
Download or read book Spotlight Mode Synthetic Aperture Radar A Signal Processing Approach written by Charles V. J. Jakowatz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern airborne and spaceborne imaging radars, known as synthetic aperture radars (SARs), are capable of producing high-quality pictures of the earth's surface while avoiding some of the shortcomings of certain other forms of remote imaging systems. Primarily, radar overcomes the nighttime limitations of optical cameras, and the cloud- cover limitations of both optical and infrared imagers. In addition, because imaging radars use a form of coherent illumination, they can be used in certain special modes such as interferometry, to produce some unique derivative image products that incoherent systems cannot. One such product is a highly accurate digital terrain elevation map (DTEM). The most recent (ca. 1980) version of imaging radar, known as spotlight-mode SAR, can produce imagery with spatial resolution that begins to approach that of remote optical imagers. For all of these reasons, synthetic aperture radar imaging is rapidly becoming a key technology in the world of modern remote sensing. Much of the basic `workings' of synthetic aperture radars is rooted in the concepts of signal processing. Starting with that premise, this book explores in depth the fundamental principles upon which the spotlight mode of SAR imaging is constructed, using almost exclusively the language, concepts, and major building blocks of signal processing. Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach is intended for a variety of audiences. Engineers and scientists working in the field of remote sensing but who do not have experience with SAR imaging will find an easy entrance into what can seem at times a very complicated subject. Experienced radar engineers will find that the book describes several modern areas of SAR processing that they might not have explored previously, e.g. interferometric SAR for change detection and terrain elevation mapping, or modern non-parametric approaches to SAR autofocus. Senior undergraduates (primarily in electrical engineering) who have had courses in digital signal and image processing, but who have had no exposure to SAR could find the book useful in a one-semester course as a reference.
Download or read book Processing of SAR Data written by Achim Hein and published by Springer Science & Business Media. This book was released on 2003-10-10 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for students, remote sensing specialists, researchers and SAR system designers, Processing of SAR Data shows how to produce quality SAR images. In particular, this practical reference presents new methods and algorithms concerning the interferometric processing of SAR data with emphasis on system and signal theory, namely how SAR imagery is formed, how interferometry SAR images are created, and a detailed mathematical description of different focussing algorithms. Starting with the processing basics and progressing to the final geo-coded SAR data product, the book describes the complete processing steps in detail. Algorithms based on the effects of side-looking geometry are developed to correct foreshortening, shadowing and layover.
Download or read book Satellite InSAR Data written by Alessandro Ferretti and published by . This book was released on 2014 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Signal and Information Processing Networking and Computers written by Yue Wang and published by Springer Nature. This book was released on 2020-04-04 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects selected papers from the 6th Conference on Signal and Information Processing, Networking and Computers, held in Guiyang, China, on August 13 - 16, 2019. Focusing on the latest advances in information theory, communication systems, computer science, aerospace technologies, big data and other related technologies, it offers a valuable resource for researchers and industrial practitioners alike.
Download or read book Radar Signal Decomposition and Quality Assessment for Wide Area Monitoring written by Xinyao Sun and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of signal decomposition is to extract and separate distinct signal components from a composite signal. Signal decomposition has been studied in many applications, such as image, video, audio, and speech signals. This thesis focuses on the category of signal decomposition on Interferometric Synthetic Aperture Radar (InSAR), a remote sensing technology that can monitor the earth from space. It provides measurements for thousands of square kilometres of ground, with a spatial resolution of around 10 m per pixel and a 1 mm precision on ground deformation estimation over time. For wide-area monitoring, algorithms must handle tens of thousands of radar satellite images annually to measure ground stability over time. This thesis' primary focus is to combine traditional signal/image processing techniques with recent deep learning approaches to improve the InSAR processing pipeline to deliver faster and better results. The task is very challenging because ground surface displacement or deformation signals are encoded in observed InSAR phase measurements with other contaminant signals (e.g., atmospheric distortion, orbital error, and digital elevation model error and noise). Each type of signal could be spatially correlated, temporally correlated, or both. It is also possible for the signals to be neither spatially nor temporally correlated. The phase values are wrapped by 2pi, which causes a non-continuous processing domain. Moreover, there is no real-world ground truth to reference in the training or validation stages. This thesis explores and addresses the deformation signal extraction problem using different strategies. We start by focusing on the image filtering problem of removing spatially independent noise components. We demonstrate a novel deep learning model for Gaussian denoising in natural images and then adapt it to data from the InSAR modality. We designed a teacher-student paradigm for supervised training in the absence of real-world ground truth data. The framework uses a standard stack-based filtering method as the "teacher" (requiring more than 30 observations) and a deep differentiable model to learn the behaviour of the teacher method. After training, the student model can produce results comparable to, or even better than, those produced by its teacher method. Moreover, the student model relies on just a single pair of observations. Additionally, the proposed model is designed to provide a coherence map, which indicates the signal quality at the pixel level. Furthermore, we present an extension in the form of a novel self-supervised framework. This framework can be used to remove noise signals and estimate pixel-level quality using only noisy observations for training and inference. In addition to the previous outcome, we investigate how to separate deformation and DEM error signals using a 2D optimization problem for each spatial location in a time series. In general, current approaches suffer from a non-continuous solution space. They are limited to small-scale displacement use cases, making them unsuitable for high-velocity scenarios such as mining, construction, and earthquakes. We propose a two-stage optimization strategy that effectively locates global optima by combining an iterative global coarse search with a stochastic derivative-free local fine search. Almost all of the research on InSAR deforming signal estimation is based solely on temporal analysis and requires pre-removal of the atmospheric phase. We further investigate the spatial-temporal cross-domain optimization by developing an adaptive kernel that performs convolutional optimization on the entire 3D InSAR stack, resulting in accurate and robust deformation and DEM error signal extraction. The approach should be capable of processing wrapped phases directly and even working on phases that have not had their atmospheric component removed. Despite these signal decomposition processes, accurately validating and optimizing the developed algorithms remains a challenge due to the lack of relevant ground truth data in a real-world environment. We developed a stochastic InSAR simulator to address this problem. The simulator provides a highly flexible modeling framework for generating various phase fringes and coherence distributions. This simulator is suitable for conducting thorough quantitative evaluations of various filtering and coherence estimation algorithms. The simulator features 2D and 3D modes that support stack and non-stack analysis. The 3D version is expected to simulate time-series deformation signals to evaluate signal separation methods. Additionally, to mimic realistic signals, we also study the intelligent generative InSAR simulator with adversarial training to learn the real-world deformation signal's distribution and its correlations to the DEM error.
Download or read book Image and Signal Processing for Remote Sensing written by and published by . This book was released on 2004 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book InSAR analysis of ground surface deformation in Cedar Valley Iron County Utah written by Kurt Katzenstein and published by Utah Geological Survey. This book was released on 2013-10-15 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 43-page report presents new Interferometric Synthetic Aperture Radar (InSAR) analysis of ground water subsidence in Cedar Valley in Iron County, Utah. This analysis is based on InSAR data from the ERS-1/2 satellites from 1992 to 2000, and the Envisat satellite from 2004 to 2010. A stack of five consecutive interferograms from the 1992-2000 time period and a stack of four consecutive interferograms from the 2004-2010 time period are included in this report; however, decorrelation in the vicinity of the Enoch graben makes an estimate of total deformation impossible using the stacks. In total, surface deformation has impacted approximately 256 km² (100 mi²) in Cedar Valley. Subsidence rates in the vicinity of the Enoch graben increased from approximately 0.5-1.0 cm/yr to roughly 1-2 cm/yr after 1999. Similarly, rates in central Cedar Valley show a general increasing trend after 1999, but rates appear to be more erratic than the other two sites. The spatial distribution of deformation in Cedar Valley correlates well with both the location of observed fissuring as well as the location of both municipal and private groundwater production wells. The fissuring observed near Quichapa Lake, as well as within the Enoch graben, is likely a direct result of groundwater pumping in these areas.
Download or read book Volcano Deformation written by Daniel Dzurisin and published by Springer Science & Business Media. This book was released on 2006-11-24 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volcanoes and eruptions are dramatic surface man telemetry and processing, and volcano-deformation ifestations of dynamic processes within the Earth, source models over the past three decades. There has mostly but not exclusively localized along the been a virtual explosion of volcano-geodesy studies boundaries of Earth's relentlessly shifting tectonic and in the modeling and interpretation of ground plates. Anyone who has witnessed volcanic activity deformation data. Nonetheless, other than selective, has to be impressed by the variety and complexity of brief summaries in journal articles and general visible eruptive phenomena. Equally complex, works on volcano-monitoring and hazards mitiga however, if not even more so, are the geophysical, tion (e. g. , UNESCO, 1972; Agnew, 1986; Scarpa geochemical, and hydrothermal processes that occur and Tilling, 1996), a modern, comprehensive treat underground - commonly undetectable by the ment of volcano geodesy and its applications was human senses - before, during, and after eruptions. non-existent, until now. Experience at volcanoes worldwide has shown that, In the mid-1990s, when Daniel Dzurisin (DZ to at volcanoes with adequate instrumental monitor friends and colleagues) was serving as the Scientist ing, nearly all eruptions are preceded and accom in-Charge of the USGS Cascades Volcano Observa panied by measurable changes in the physical and tory (CVO), I first learned of his dream to write a (or) chemical state of the volcanic system. While book on volcano geodesy.
Download or read book Earthquake Processes Physical Modelling Numerical Simulation and Data Analysis Part II written by Mitsuhiro Matsu'ura and published by Birkhäuser. This book was released on 2012-12-06 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade of the 20th century, there has been great progress in the physics of earthquake generation; that is, the introduction of laboratory-based fault constitutive laws as a basic equation governing earthquake rupture, quantitative description of tectonic loading driven by plate motion, and a microscopic approach to study fault zone processes. The fault constitutive law plays the role of an interface between microscopic processes in fault zones and macroscopic processes of a fault system, and the plate motion connects diverse crustal activities with mantle dynamics. An ambitious challenge for us is to develop realistic computer simulation models for the complete earthquake process on the basis of microphysics in fault zones and macro-dynamics in the crust-mantle system. Recent advances in high performance computer technology and numerical simulation methodology are bringing this vision within reach. The book consists of two parts and presents a cross-section of cutting-edge research in the field of computational earthquake physics. Part I includes works on microphysics of rupture and fault constitutive laws, and dynamic rupture, wave propagation and strong ground motion. Part II covers earthquake cycles, crustal deformation, plate dynamics, and seismicity change and its physical interpretation. Topics in Part II range from the 3-D simulations of earthquake generation cycles and interseismic crustal deformation associated with plate subduction to the development of new methods for analyzing geophysical and geodetical data and new simulation algorithms for large amplitude folding and mantle convection with viscoelastic/brittle lithosphere, as well as a theoretical study of accelerated seismic release on heterogeneous faults, simulation of long-range automaton models of earthquakes, and various approaches to earthquake predicition based on underlying physical and/or statistical models for seismicity change.
Download or read book SAR Based Signal Processing and Target Recognition written by Lan Du and published by Mdpi AG. This book was released on 2023-09-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Synthetic aperture radar (SAR) is a class of significantly important remote sensors that work effectively during all weather conditions and all times of day. SAR has the capability to provide very-high-resolution images and multi-dimensional data during limited periods of time, enhancing the spatial-time resolution of observations. In recent years, SAR technology has been developing towards the trend of multi-dimensional imaging and fine-grained image recognition. Meanwhile, the paradigms of SAR imaging and information perception have also been greatly changed to multi-mode, multi-dimensional and intelligent processing strategies. Recently, machine learning and deep learning methods have been applied to SAR imaging and target recolonization to drive various algorithms, which can be classified as model-based and data-learning techniques. Compared to model-based approaches, learning algorithms are more adaptive and show superior performance. However, when limited to small data sets, complex scenes, etc., these learning algorithms may suffer from bad generalization capability and low feature robustness. This Special Issue introduces some newly advanced signal processing and target recognition technologies in SAR, including some new theories, models, concepts and architecture designs for multi-mode/multi-dimensional SAR imaging and parameter inversion, sparse techniques of SAR and ISAR imaging, SAR interference and anti-interference, SAR/InSAR image enhancement, SAR target detection and recognition, SAR image classification and interpretation.
Download or read book Land Surface Remote Sensing written by Mehrez Zribi and published by Elsevier. This book was released on 2016-11-08 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land Surface Remote Sensing: Environment and Risks explores the use of remote sensing in applications concerning the environment, including desertification and monitoring deforestation and forest fires. The first chapter covers the characterization of aerosols and gases by passive remote sensing. The next chapter presents the correlation of optical images for quantifying the deformation of the Earth's surface and geomorphological processes. The third chapter is examines remote sensing applications in the mining environment. The fourth chapter depicts the strong potential of radar imagery for volcanology and urban and mining subsidence studies. The next two chapters deal respectively with the use of remote sensing in locust control and the contribution of remote sensing to the epidemiology of infectious diseases. In the last ten years, spatial observation of the Earth—particularly continental surfaces—has expanded considerably with the launch of increasing numbers of satellites covering various applications (hydrology, biosphere, flow of surface, snow, ice, landslide, floods). This has paved the way for an explosion in the use of remote sensing data. This book offers essential coverage of space-based observation techniques for continental surfaces. The authors explore major applications and provide a corresponding detailed chapter for the physical principles, physics of measurement, and data processing requirements for each technique, bringing you up-to-date descriptions of techniques used by leading scientists in the field of remote sensing and Earth observation. - Provides clear and concise descriptions of modern remote sensing methods - Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications - Provides chapters on physical principles, measurement, and data processing for each technique described - Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made
Download or read book Fringe 2009 written by Wolfgang Osten and published by Springer Science & Business Media. This book was released on 2010-04-28 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: 21 years ago it was a joint idea with Hans Rottenkolber to organize a workshop dedicated to the discussion of the latest results in the automatic processing of fringe patterns. This idea was promoted by the insight that automatic and high precision phase measurement techniques will play a key role in all future industrial and scientific applications of optical metrology. A couple of months later more than 50 specialists from East and West met in East Berlin, the capital of the former GDR, to spend 3 days with the discussion of new principles of fringe processing. In the stimulating atmoshere the idea was born to repeat the workshop and to organize the meeting in an olympic schedule. And thus meanwhile 20 years have been passed and we have today Fringe number six. However, such a workshop takes place in a dynamic environment. Therefore the main topics of the previous events were always adapted to the most interesting subjects of the new period. In 1993 the workshop took place in Bremen and was dedicated to new principles of optical shape measurement, setup calibration, phase unwrapping and nondestructive testing, while in 1997 new approaches in multi-sensor metrology, active measurement strategies and hybrid processing technologies played a central role. 2001, the first meeting in the 21st century, was focused to optical methods for micromeasurements, hybrid measurement technologies and new sensor solutions for industrial inspection.
