Image And Signal Processing For Remote Sensing Iv
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Image And Signal Processing For Remote Sensing Iv
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Author : Sebastiano B. Serpico
language : en
Publisher:
Release Date : 1998
Image And Signal Processing For Remote Sensing Iv written by Sebastiano B. Serpico and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Image processing categories.
Signal And Image Processing For Remote Sensing Second Edition
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Author : C.H. Chen
language : en
Publisher: CRC Press
Release Date : 2012-02-22
Signal And Image Processing For Remote Sensing Second Edition written by C.H. Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-22 with Technology & Engineering categories.
Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results, making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field, with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing, empirical mode decomposition, and sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor, software, and hardware technologies. Written for industrial and academic researchers and graduate students alike, this book helps readers connect the "dots" in image and signal processing. New in This Edition The second edition includes four chapters from the first edition, plus 23 new or entirely rewritten chapters, and 190 new figures. New topics covered include: Compressive sensing The mixed pixel problem with hyperspectral images Hyperspectral image (HSI) target detection and classification based on sparse representation An ISAR technique for refocusing moving targets in SAR images Empirical mode decomposition for signal processing Feature extraction for classification of remote sensing signals and images Active learning methods in classification of remote sensing images Signal subspace identification of hyperspectral data Wavelet-based multi/hyperspectral image restoration and fusion The second edition is not intended to replace the first edition entirely and readers are encouraged to read both editions of the book for a more complete picture of signal and image processing in remote sensing. See Signal and Image Processing for Remote Sensing (CRC Press 2006).
Image And Signal Processing For Remote Sensing Iv
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Author : Consiglio nazionale delle ricerche (Italy)
language : en
Publisher: Society of Photo Optical
Release Date : 1998
Image And Signal Processing For Remote Sensing Iv written by Consiglio nazionale delle ricerche (Italy) and has been published by Society of Photo Optical this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Science categories.
A collection of 46 papers on image and signal processing for remote sensing. The papers are divided into nine sessions based on wide topics such as filtering, segmentation and edge detection, texture analysis, and classification and target detection.
Signal Processing For Remote Sensing
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Author : C.H. Chen
language : en
Publisher: CRC Press
Release Date : 2007-10-17
Signal Processing For Remote Sensing written by C.H. Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-17 with Technology & Engineering categories.
Written by leaders in the field, Signal Processing for Remote Sensing explores the data acquisitions segment of remote sensing. Each chapter presents a major research result or the most up to date development of a topic. The book includes a chapter by Dr. Norden Huang, inventor of the Huang-Hilbert transform who, along with and Dr. Steven Lo
Signal And Image Processing For Remote Sensing
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Author : C.H. Chen
language : en
Publisher: CRC Press
Release Date : 2024-06-11
Signal And Image Processing For Remote Sensing written by C.H. Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-11 with Technology & Engineering categories.
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.
Image And Signal Processing
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Author : Abderrahim Elmoataz
language : en
Publisher: Springer
Release Date : 2010-06-26
Image And Signal Processing written by Abderrahim Elmoataz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-26 with Computers categories.
This book constitutes the refereed proceedings of the 4th International Conference on Image and Signal Processing, ICISP 2010, held in Québec, Canada June 30 - July 2, 2010. The 69 revised full papers were carefully selected from 165 submissions. The papers presented are organized in topical sections on Image Filtering and Coding, Pattern Recognition, Biometry, Signal Processing, Video Coding and Processing, Watermarking and Document Processing, Computer Vision and Biomedical Applications.
Image And Signal Processing For Remote Sensing Xix
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Author : Lorenzo Bruzzone
language : en
Publisher:
Release Date : 2013
Image And Signal Processing For Remote Sensing Xix written by Lorenzo Bruzzone and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Image processing categories.
4th Workshop On Hyperspectral Image And Signal Processing Evolution In Remote Sensing Whispers 2012
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Author :
language : en
Publisher:
Release Date : 2012
4th Workshop On Hyperspectral Image And Signal Processing Evolution In Remote Sensing Whispers 2012 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Image processing categories.
Image And Signal Processing For Remote Sensing
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Author :
language : en
Publisher:
Release Date : 2006
Image And Signal Processing For Remote Sensing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Image processing categories.
Remote Sensing Digital Image Analysis
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Author : John A. Richards
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-13
Remote Sensing Digital Image Analysis written by John A. Richards and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Technology & Engineering categories.
Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same. This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.