Compressive Sensing of Earth Observations: 1st Edition (Hardback) book cover

Compressive Sensing of Earth Observations

1st Edition

Edited by C.H. Chen

CRC Press

366 pages | 25 Color Illus. | 75 B/W Illus.

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Hardback: 9781498774376
pub: 2017-06-01
eBook (VitalSource) : 9781315154626
pub: 2017-05-25
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Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year. Written by leading experts in the field Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding modeling of rib-cage breathing. Readers are also presented with three different applications of CS to the ISAR imaging problem, which includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data.

Table of Contents




1 Compressed Sensing: From Theory to Praxis

Axel Flinth, Ali Hashemi, and Gitta Kutyniok

2 Compressive Sensing on the Sphere: Slepian Functions for Applications in Geophysics

Zubair Khalid and Abubakr Muhamma

3 Compressive Sensing–Based High Resolution Imaging and Tracking of Targets and Human Vital Sign Detection behind Walls

Ahmad Hoorfar, Ozlem Kilic, and Aly E. Fathy

4 Recovery Guarantees for High Resolution Radar Sensing with Compressive Illumination

Emre Ertin and Nithin Sugavanam

5 Compressive Sensing for Inverse Synthetic Aperture Radar Imaging

Alessio Bacci, Elisa Guusti, Sonia Tomei, D. Cataldo, Marco Martorella, and Fabrizo Berzzi

6 A Novel Compressed Sensing–Based Algorithm for Space–Time Signal Processing Using Airborne Radars

Jing Liu, Mahendra Mallick, Feng Lian, and Kaiyu Huang


7 Bayesian Sparse Estimation of Radar Targets in the Compressed Sensing Framework

St´ephanie Bidon and Marie Lasserre

8 Virtual Experiments and Compressive Sensing for Subsurface

Microwave Tomography

Martina Bevacqua, Lorenza Crocco, Loreto Di Donato, Tommaso Isernia, and Roberta Palmeri

9 Seismic Source Monitoring with Compressed Sensing

Ismael Vera Rodriguez and Mauricio D. Sacchi

10 Seismic Data Regularization and Imaging Based on Compressive Sensing and Sparse Optimization

Yanfei Wang and Jingjie Cao

11 Land Use Classification with Sparse Models

Mohamed L. Mekhalfi, Farid Melgani, Yakoub Bazi, and Naif Alajlan

12 Compressive Sensing for Reconstruction, Classification, and Detection of Hypespectral Images

Bing Zhang, Wei Li, Lianru Gao, and Xu Sun

13 Structured Abundance Matrix Estimation for Land Cover Hyperspectral Image Unmixing

Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, and Konstantinos D. Koutroumbas

14 Parallel Coded Aperture Method for Hyperspectral Compressive Sensing on GPU

Gabriel Mart´ın, Jos´e Nascimento, and Jos´e Bioucas-Dias

15 Algorithms and Prototyping of a Compressive Hyperspectral Imager

Alessandro Barducci, Giulio Coluccia, Donatella Guzzi, Cinzia Lastri, Enrico Magli, and Valentina Raimondi


About the Editor

Chi Hau Chen (IEEE Life Fellow 2003, IEEE Fellow 1988) received his Ph.D. in electrical engineering from Purdue University in 1965. He has been a faculty member with the University of Massachusetts Dartmouth (UMass Dartmouth) since1968 where he is currently Chancellor Professor Emeritus. Dr. Chen was the Associate Editor of IEEE Trans. on Acoustics, Speech and Signal Processing from 1982 to 1986, Associate Editor on information processing of IEEE Trans. on Geoscience and Remote Sensing 1985 to 2000. He is also a Fellow of International Association of Pattern Recognition (IAPR, 1966) and a editorial Board Member of Pattern Recognition Journal since 2008. He is a book series editor for CRC Press on Signal and Image Processing with Earth Observations. In addition to the theory and applications of statistical pattern recognition, his research has included the signal and image processing of underwater acoustic and geophysical signals, and ultrasonic data for nondestructive evaluation, as well as remote sensing and medical imaging. He has published 34 (authored and edited) books in his areas of research interest.

About the Series

Signal and Image Processing of Earth Observations

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Subject Categories

BISAC Subject Codes/Headings:
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems