Signal Processing For Remote Sensing

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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 : 2006-10-09

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 2006-10-09 with Technology & Engineering categories.

Most data from satellites are in image form, thus most books in the remote sensing field deal exclusively with image processing. However, signal processing can contribute significantly in extracting information from the remotely sensed waveforms or time series data. Pioneering the combination of the two processes, Signal and Image Processing for Re

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).

Optical Remote Sensing

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Author : Saurabh Prasad
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-23

Optical Remote Sensing written by Saurabh Prasad 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 2011-03-23 with Technology & Engineering categories.

Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data. Challenges in pre-processing images, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.

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.

Signal Theory Methods In Multispectral Remote Sensing

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Author : David A Landgrebe
language : en
Publisher: John Wiley & Sons
Release Date : 2005-02-04

Signal Theory Methods In Multispectral Remote Sensing written by David A Landgrebe and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-04 with Science categories.

An outgrowth of the author's extensive experience teaching senior and graduate level students, this is both a thorough introduction and a solid professional reference. * Material covered has been developed based on a 35-year research program associated with such systems as the Landsat satellite program and later satellite and aircraft programs. * Covers existing aircraft and satellite programs and several future programs *An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Image And Signal Processing For Remote Sensing

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Author :
language : en
Publisher:
Release Date : 2004

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 2004 with Image processing categories.

Frontiers Of Remote Sensing Information Processing

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Author : C. H. Chen
language : en
Publisher: World Scientific
Release Date : 2003

Frontiers Of Remote Sensing Information Processing written by C. H. Chen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Technology & Engineering categories.

Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination. In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas. Contents: Data Mining; SAR Image Processing; Wavelet Analysis and Applications; Military Applications of Remote Sensing; Microwave Remote Sensing; Statistical Pattern Recognition; Automatic Target Segmentation; Neural Networks; Change Detection; Seismic Signal Processing; Time Series Prediction; Image Compression; Emerging Topics. Readership: Engineers and scientists dealing with remote sensing data in particular, and signals and images in general; computer scientists involved in software development on geophysical data analysis.

Image And Signal Processing For Remote Sensing Xii

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Author :
language : en
Publisher:
Release Date : 2006

Image And Signal Processing For Remote Sensing Xii 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.

Image And Signal Processing For Remote Sensing Xi

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Author :
language : en
Publisher:
Release Date : 2005

Image And Signal Processing For Remote Sensing Xi written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.