Image and Signal Processing for Remote Sensing XIX PDF Download

Author: Lorenzo Bruzzone
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages :

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Author: European Association of Remote Sensing Companies
Publisher:
ISBN: 9780819497611
Category : Image processing
Languages : en
Pages :

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Author: C.H. Chen
Publisher: CRC Press
ISBN: 143985596X
Category : Technology & Engineering
Languages : en
Pages : 623

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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).

Author: Chi-hau Chen
Publisher:
ISBN: 9781032437415
Category : Computers
Languages : en
Pages : 0

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This new edition of Signal and Image Processing for Remote Sensing emphasizes the use of machine learning approaches to remote sensing information extraction, change detection, and compressed sensing. With 19 new chapters written by world leaders in the field, it provides an authoritative coverage of the recent progress in the field.

Author: C.H. Chen
Publisher: CRC Press
ISBN: 1420066676
Category : Technology & Engineering
Languages : en
Pages : 291

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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

Author: C.H. Chen
Publisher: CRC Press
ISBN: 9780849350917
Category : Technology & Engineering
Languages : en
Pages : 712

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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 Remote Sensing provides a balance between the role of signal processing and image processing in remote sensing. Featuring contributions from worldwide experts, this book emphasizes mathematical approaches. Divided into two parts, Part I examines signal processing for remote sensing and Part II explores image processing. Not limited to the problems with data from satellite sensors, the book considers other sensors which acquire data remotely, including signals and images from infrasound, seismic, microwave, and satellite sensors. It covers a broader scope of issues in remote sensing information processing than other books in this area. With rapid technological advances, the mathematical techniques provided will far outlast the sensor, software and hardware technologies. Focusing on methodologies of signal processing and image processing in remote sensing, this book discusses unique techniques for dealing with remote sensing problems.

Author:
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 420

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Author: Lorenzo Bruzzone
Publisher:
ISBN: 9780819488077
Category : Image processing
Languages : en
Pages : 344

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Includes Proceedings Vol. 7821

Author: Society of Photo-optical Instrumentation Engineers
Publisher:
ISBN: 9780819434661
Category :
Languages : en
Pages : 0

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Author: Lorenzo Bruzzone
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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