Radar Processing For Detection Of Sar Targets Using The Ai Tracker
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Author | : Teng Long |
Publisher | : Springer |
Total Pages | : 299 |
Release | : 2018-04-20 |
Genre | : Technology & Engineering |
ISBN | : 981107254X |
This book chiefly addresses the analysis and design of geosynchronous synthetic aperture radar (GEO SAR) systems, focusing on the algorithms, analysis, methods used to compensate for ionospheric influences, and validation experiments for Global Navigation Satellite Systems (GNSS). Further, it investigates special problems in the GEO SAR context, such as curved trajectories, the Earth’s rotation, the ‘non-stop-and-go’ model, high-order Doppler parameters, temporal-variant ionospheric errors etc. These studies can also be extended to SAR with very high resolution and long integration time. Given the breadth and depth of its coverage, scientists and engineers in SAR and advanced graduate students in related areas will greatly benefit from this book.
Author | : Shuai Liu |
Publisher | : Springer Nature |
Total Pages | : 491 |
Release | : 2021-01-28 |
Genre | : Computers |
ISBN | : 3030678741 |
This two-volume set constitutes the post-conference proceedings of the 4th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2020, held in Binzhou, China, in September 2020. Due to COVID-19 the conference was held virtually. The 89 papers presented were selected from 190 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2020 was “Industrial applications of aspects with big data”. The papers are named in topical sections as follows: Industrial application of multi-modal information processing; Industrialized big data processing; Industrial automation and intelligent control; Visual information processing.
Author | : Sevgi Zubeyde Gurbuz |
Publisher | : SciTech Publishing |
Total Pages | : 419 |
Release | : 2020-12-31 |
Genre | : Technology & Engineering |
ISBN | : 1785618520 |
Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist or engineer seeking to apply these technologies ought to be aware of.
Author | : Jong-Sen Lee |
Publisher | : CRC Press |
Total Pages | : 422 |
Release | : 2017-12-19 |
Genre | : Technology & Engineering |
ISBN | : 1420054988 |
The recent launches of three fully polarimetric synthetic aperture radar (PolSAR) satellites have shown that polarimetric radar imaging can provide abundant data on the Earth’s environment, such as biomass and forest height estimation, snow cover mapping, glacier monitoring, and damage assessment. Written by two of the most recognized leaders in this field, Polarimetric Radar Imaging: From Basics to Applications presents polarimetric radar imaging and processing techniques and shows how to develop remote sensing applications using PolSAR imaging radar. The book provides a substantial and balanced introduction to the basic theory and advanced concepts of polarimetric scattering mechanisms, speckle statistics and speckle filtering, polarimetric information analysis and extraction techniques, and applications typical to radar polarimetric remote sensing. It explains the importance of wave polarization theory and the speckle phenomenon in the information retrieval problem of microwave imaging and inverse scattering. The authors demonstrate how to devise intelligent information extraction algorithms for remote sensing applications. They also describe more advanced polarimetric analysis techniques for polarimetric target decompositions, polarization orientation effects, polarimetric scattering modeling, speckle filtering, terrain and forest classification, manmade target analysis, and PolSAR interferometry. With sample PolSAR data sets and software available for download, this self-contained, hands-on book encourages you to analyze space-borne and airborne PolSAR and polarimetric interferometric SAR (Pol-InSAR) data and then develop applications using this data.
Author | : Gareth Rees |
Publisher | : Cambridge University Press |
Total Pages | : 461 |
Release | : 2013 |
Genre | : Science |
ISBN | : 110700473X |
A quantitative yet accessible introduction to remote sensing techniques, this new edition covers a broad spectrum of Earth science applications.
Author | : Richard Klemm |
Publisher | : IET |
Total Pages | : 971 |
Release | : 2004-08-13 |
Genre | : Technology & Engineering |
ISBN | : 0852969244 |
This text discusses various applications of space-time adaptive processing, including applications in OTH-radar, ground target tracking, STAP in real world clutter environments, jammer cancellation, superresolution, active sonar, seismics and communications. It is divided into two parts: the first dealing with the classical adaptive suppression of airborne and spacebased radar clutter, and the second comprising of miscellaneous applications in other fields such as communications, underwater sound and seismics.
Author | : Gregory L. Charvat |
Publisher | : CRC Press |
Total Pages | : 416 |
Release | : 2014-04-04 |
Genre | : Technology & Engineering |
ISBN | : 1439866007 |
Radar Expert, Esteemed Author Gregory L. Charvat on CNN and CBSAuthor Gregory L. Charvat appeared on CNN on March 17, 2014 to discuss whether Malaysia Airlines Flight 370 might have literally flown below the radar. He appeared again on CNN on March 20, 2014 to explain the basics of radar, and he explored the hope and limitations of the technology i
Author | : |
Publisher | : |
Total Pages | : 1148 |
Release | : 1989 |
Genre | : Aeronautics |
ISBN | : |
Author | : Mark A. Richards |
Publisher | : SciTech Publishing |
Total Pages | : 0 |
Release | : 2023-02-17 |
Genre | : Technology & Engineering |
ISBN | : 9781839533815 |
Principles of Modern Radar: Basic Principles is a comprehensive text for courses in radar systems and technology, a professional training textbook for formal in-house courses and for new hires; a reference for ongoing study following a radar short course and a self-study and professional reference book.
Author | : C.H. Chen |
Publisher | : CRC Press |
Total Pages | : 433 |
Release | : 2024-06-11 |
Genre | : Technology & Engineering |
ISBN | : 1040031250 |
Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing. Features Includes all new content and does not replace the previous edition Covers machine learning approaches in both signal and image processing for remote sensing Studies deep learning methods for remote sensing information extraction that is found in other books Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered Discusses improved pattern classification approaches and compressed sensing approaches Provides ample examples of each aspect of both signal and image processing This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.