Signal and Image Processing for Remote Sensing

✍ Scribed by C.H. Chen

• Publisher: CRC Press
• Year: 2012
• Tongue: English
• Leaves: 602
• Edition: Second Edition
• Category: Library

✦ Synopsis

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).

✦ Table of Contents

Signal Processing for Remote Sensing

1 On the Normalized Hilbert Transform and Its Applications to Remote Sensing
Steven R. Long and Norden E. Huang

2 Nyquist Pulse-Based Empirical Mode Decomposition and Its Application to Remote Sensing Problems
Arnab Roy and John F. Doherty

3 Hydroacoustic Signal Classification Using Support Vector Machines
Matthias Tuma, Christian Igel, and Mark Prior

4 Huygens Construction and the Doppler Effect in Remote Detection
Enders A. Robinson

5 Compressed Remote Sensing
Jianwei Ma, A. Shaharyar Khwaja, and M. Yousuff Hussaini

6 Context-Dependent Classification: An Approach for Achieving Robust Remote Sensing Performance in Changing Conditions
Christopher R. Ratto, Kenneth D. Morton, Jr., Leslie M. Collins, and Peter A. Torrione

7 NMF and NTF for Sea Ice SAR Feature Extraction and Classification
Juha Karvonen

8 Relating Time Series of Meteorological and Remote Sensing Indices to Monitor Vegetation Moisture Dynamics
Jan Verbesselt, P. Jönsson, S. Lhermitte, I. Jonckheere, J. van Aardt, and P.Coppin

9 Use of a Prediction-Error Filter in Merging High- and Low-Resolution Images
Song-Ho Yun and Howard Zebker

10 Hyperspectral Microwave Atmospheric Sounding Using Neural Networks
William J. Blackwell

11 Satellite Passive Millimeter-Wave Retrieval of Global Precipitation
Chinnawat "Pop" Surussavadee and David H. Staelin　

Image Processing for Remote Sensing

12 On SAR Image Processing: From Focusing to Target Recognition
Kun-Shan Chen and Yu-Chang Tzeng

13 Polarimetric SAR Techniques for Remote Sensing of the Ocean Surface
Dale L. Schuler, Jong-Sen Lee, and Dayalan Kasilingam

14 An ISAR Technique for Refocussing Moving Targets in SAR Images
Marco Martorella, Elisa Giusti, Fabrizio Berizzi, Alessio Bacci, and Enzo Dalle Mese

15 Active Learning Methods in Classification of Remote Sensing Images
Lorenzo Bruzzone, Claudio Persello, and Begüm Demir

16 Crater Detection Based on Marked Point Processes
Giulia Troglio, Jon Atli Benediktsson, Gabriele Moser, and Sebastiano Bruno Serpico

17 Probability Density Function Estimation for Classification of High-Resolution SAR Images
Vladimir A. Krylov, Gabriele Moser, Sebastiano Bruno Serpico, and Josiane Zerubia

18 Random Forest Classification of Remote Sensing Data
Björn Waske, Jon Atli Benediktsson, and Johannes R. Sveinsson

19 Sparse Representation for Target Detection and Classification in Hyperspectral Imagery
Yi Chen, Trac D. Tran, and Nasser M. Nasrabdi

20 Integration of Full and Mixed Pixel Techniques to Obtain Thematic Maps with a Refined Resolution
Alberto Villa, Jon Atli Benediktsson, Jocelyn Chanussot, and C. Jutten

21 Signal Subspace Identification in Hyperspecral Imagery
José M.P. Nascimento and José M. Bioucas-Dias

22 Image Classification and Object Detection Using Spatial Contextual Constraints
Selim Aksoy, R. Gökberk Cinbiş, and H. Gökhan Akçay

23 Data Fusion for Remote-Sensing Applications
Anne H. S. Solberg

24 Image Fusion in Remote Sensing with the Steered Hermite Transform
Boris Escalante-Ramírez and Alejandra A. López-Caloca

25 Wavelet-Based Multi/Hyperspectral Image Restoration and Fusion
Paul Scheunders, Arno Duijster, and Yifan Zhang

26 The Land Cover Estimation with Satellite Image Using Neural Network
Yuta Tsuchida, Michifumi Yoshioka, Sigeru Omatu, and Toru Fujinaka

27 Twenty-Five Years of Pansharpening: A Critical Review and New Developments
Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, and Massimo Selva

✦ Subjects

Науки о Земле;Дистанционное зондирование Земли;