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Author : Anonim
Publisher : Unknown
Page : 180 pages
File Size : 44,9 Mb
Release : 1999
Category : Remote sensing
ISBN : UOM:39015048236304
Author : Francesco Posa
Publisher : SPIE-International Society for Optical Engineering
Page : 168 pages
File Size : 50,7 Mb
Release : 1999
Category : Computers
ISBN : STANFORD:36105028802044
This text brings together 18 papers that examine SAR image analysis, and its modelling and techniques
Author : Claudia Notarnicola
Publisher : SPIE-International Society for Optical Engineering
Page : 188 pages
File Size : 54,8 Mb
Release : 2010-01-01
Category : Infrared imaging
ISBN : 081948346X
Includes Proceedings Vol. 7821
Author : Henri Maître
Publisher : John Wiley & Sons
Page : 311 pages
File Size : 49,5 Mb
Release : 2013-05-10
Category : Technology & Engineering
ISBN : 9781118623909
Synthetic aperture radar provides broad-area imaging at high resolutions, which is used in applications such as environmental monitoring, earth-resource mapping, and military systems. This book presents the tools required for the digital processing of synthetic aperture radar images. They are of three types: (a) the elements of physics, (b) mathematical models and (c) image processing methods adapted to particular applications.
Author : Alejandro C. Frery,Jie Wu,Luis Gomez
Publisher : John Wiley & Sons
Page : 307 pages
File Size : 50,8 Mb
Release : 2022-07-20
Category : Technology & Engineering
ISBN : 9781119795469
SAR IMAGE ANALYSIS — A COMPUTATIONAL STATISTICS APPROACH Discover how to use statistics to extract information from SAR imagery In SAR Image Analysis — A Computational Statistics Approach, an accomplished team of researchers delivers a practical exploration of how to use statistics to extract information from SAR imagery. The authors discuss various models, supply sample data and code, and explain theoretical aspects of SAR image analysis that are highly relevant to practitioners and students. The book offers the theoretical properties of models, estimators, interpretation, data visualization, and advanced techniques, along with the data and code samples, that students require to learn effectively and efficiently. SAR Image Analysis — A Computational Statistics Approach provides various exercises throughout the book to help readers reinforce and retain the extensive information on parameter estimation, applications, reproducibility, replicability, and advanced topics, like robust estimators and stochastic distances, contained within. The book also includes: Thorough introductions to data acquisition and the elements of data analysis and image processing with R, including useful R packages, preprocessing SAR data, and visualization Comprehensive explorations of intensity SAR data and the multiplicative model, including the (SAR) gamma distribution, the K distribution, the G0 distribution, and more general distributions under the multiplicative model Practical discussions of parameter estimations, including the Bernoulli distribution, the negative binomial distribution, and the uniform distribution In-depth examinations of applications, including statistical filters and classification Perfect for undergraduate and graduate students studying remote sensing, data analysis, and statistics, SAR Image Analysis — A Computational Statistics Approach is also an indispensable resource for researchers, practitioners, and professionals seeking a one-stop resource on how to use statistics to extract information from SAR imagery.
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 45,9 Mb
Release : 2024-07-02
Category : Electronic
ISBN : 1510604111
Author : Chris Oliver,Shaun Quegan
Publisher : SciTech Publishing
Page : 510 pages
File Size : 40,5 Mb
Release : 2004
Category : Technology & Engineering
ISBN : 9781891121319
This practical reference shows SAR system designers and remote sensing specialists how to produce higher quality SAR images using data-driven algorithms, and apply powerful new techniques to measure and analyze SAR image content.
Author : Francesco Posa,Society of Photo-optical Instrumentation Engineers,Consiglio nazionale delle ricerche (Italy)
Publisher : Society of Photo Optical
Page : 258 pages
File Size : 53,9 Mb
Release : 1998-01-01
Category : Science
ISBN : 0819429562
This text brings together 24 papers that examine SAR image analysis, and its modelling and techniques
Author : Bovenga Fabio
Publisher : Mdpi AG
Page : 340 pages
File Size : 55,8 Mb
Release : 2020-06-15
Category : Science
ISBN : 3039361228
Because of its ability to sense the Earth's surface at night and during the day, under any weather condition, Synthetic Aperture Radar (SAR) has become a well-established and powerful remote sensing technology that is used worldwide for numerous applications. This book compiles 19 research works that investigate different aspects of SAR processing, SAR image analysis, and SAR applications. The contributions cover topics related to multi-angle/wide-angle SAR imaging; Doppler parameter estimation; data-driven focusing; Inverse SAR (ISAR) applied to pulsar signal modeling and detection; ground-based SAR; near-field interferometric ISAR; the interaction between SAR signals and the Infosphere; SAR interferometry for ground displacement monitoring, feature extraction, and change detection; and SAR-based sea applications. The selected studies represent real examples of the abundant research ongoing in the field of SAR processing and applications, and they further demonstrate that SAR imaging still presents considerable opportunities for future investigation.
Author : Ya-Qiu Jin,Feng Xu
Publisher : John Wiley & Sons
Page : 389 pages
File Size : 49,8 Mb
Release : 2013-03-29
Category : Technology & Engineering
ISBN : 9781118188163
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.
Author : Maciej Rysz,Arsenios Tsokas,Kathleen M. Dipple,Kaitlin L. Fair,Panos M. Pardalos
Publisher : Springer Nature
Page : 282 pages
File Size : 47,5 Mb
Release : 2023-01-18
Category : Mathematics
ISBN : 9783031212253
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.
Author : Francesco Posa
Publisher : Society of Photo Optical
Page : 228 pages
File Size : 48,7 Mb
Release : 2002
Category : Technology & Engineering
ISBN : 0819442682
Author : Charles V. J. Jakowatz,Daniel E. Wahl,Paul H. Eichel,Dennis C. Ghiglia,Paul A. Thompson
Publisher : Springer Science & Business Media
Page : 431 pages
File Size : 54,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461313335
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.
Author : Kun-Shan Chen
Publisher : CRC Press
Page : 232 pages
File Size : 43,9 Mb
Release : 2016-01-05
Category : Computers
ISBN : 9781466593152
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 operati
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 42,5 Mb
Release : 2005
Category : Electronic
ISBN : OCLC:746482894