Signal and Image Processing for Remote Sensing
1st Edition
Published on 1. September 2006
Book
Hardback
672 pages
978-0-8493-5091-7 (ISBN)
Description
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.
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.
Reviews / Votes
"...this book will be useful to advance automated image processing and the integration of remote sensor data with ecosystem and atmospheric models. The unique idea of combining signal processing with image processing is a good one and is well timed with ongoing technological advancements."-Ross Lunetta, Remote Sensing Change Detection and Remote Sensing and GIS Accuracy Assessment
"Overall, the breadth and depth of content make this book an excellent reference for researchers, including graduate students, engaged in advanced remote sensing data analysis, who will find that some chapters provide inspiration to their own research."
-Qian Du, Department of Electrical and Computer Engineering, Mississippi State University, in Photogrammetric Engineering & Remote Sensing, Nov. 2007, Vol. 73, No. 11
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Remote sensing engineers, computer engineers, and graduate students in computer engineering or signal and image processing.
Illustrations
333 s/w Abbildungen, 37 farbige Abbildungen, 95 s/w Tabellen
558 equations; 95 Tables, black and white; 37 Illustrations, color; 333 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
Weight
1361 gr
ISBN-13
978-0-8493-5091-7 (9780849350917)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
University of Massachusetts, North Dartmouth, USA North Dartmouth
Content
SIGNAL PROCESSING FOR REMOTE SENSING
On the Normalized Hilbert Transform and Its Applications in Remote Sensing; Steven R. Long and Norden E. Huang
Statistical Pattern Recognition and Signal Processing in Remote Sensing; Chi Hau Chen
A Universal Neural Network-Based Infrasound Event Classifier; Fredric M. Ham and Ranjan Acharyya
Construction of Seismic Images by Ray Tracing; Enders A. Robinson
Multi-Dimensional Seismic Data Decomposition by Higher Order SVD and Unimodal ICA; Nicholas Le Bihan, Valeriu Vrabie, and Jerome I. Mars
Application of Factor Analysis in Seismic Profiling; Zhenhai Wang and Chi Hau Chen
Kalman Filtering for Weak Signal Detection in Remote Sensing; Stacy L. Tantum, Yingyi Tan, and Leslie M. Collins
Relating Time-Series of Meteorological and Remote Sensing Indices to Monitor Vegetation Moisture Dynamics; J. Verbesselt, P. Joensson, S. Lhermitte, I. Jonckheere, J. van Aardt, and P. Coppin
Use of a Prediction-Error Filter in Merging Highand Low-Resolution Images; Sang-Ho Yun and Howard Zebker
Blind Separation of Convolutive Mixtures for Canceling Active Sonar Reverberation; Fengyu Cong, Chi Hau Chen, Shaoling Ji, Peng Jia, and Xizhi Shi
Neural Network Retrievals of Atmospheric Temperature and Moisture Profiles from High-Resolution Infrared and Microwave Sounding Data; William J. Blackwell
Satellite-Based Precipitation Retrieval Using Neural Networks, Principal Component Analysis, and Image Sharpening; Frederick W. Chen
IMAGE PROCESSING FOR REMOTE SENSING
Polarimetric SAR Techniques for Remote Sensing of the Ocean Surface; Dale L. Schuler, Jong-Sen Lee, and Dayalan Kasilingam
MRF-Based Remote-Sensing Image Classification with Automatic Model Parameter Estimation; Sebastiano B. Serpico and Gabriele Moser
Random Forest Classification of Remote Sensing Data; Sveinn R. Joelsson, Jon Atli Benediktsson, and Johannes R. Sveinsson
Supervised Image Classification of Multi-Spectral Images Based on Statistical Machine Learning; Ryuei Nishii and Shinto Eguchi
Unsupervised Change Detection in Multi-Temporal SAR Images; Lorenzo Bruzzone and Francesca Bovolo
Change-Detection Methods for Location of Mines in SAR Imagery; Maria Tates, Nasser Nasrabadi, Heesung Kwon, and Carl White
Vertex Component Analysis: A Geometric-Based Approach to Unmix Hyperspectral Data; Jose M.B. Dias and Jose M.P. Nascimento
Two ICA Approaches for SAR Image Enhancement; Chi Hau Chen, Xianju Wang, and Salim Chitroub
Long-Range Dependence Models for the Analysis and Discrimination of Sea-Surface Anomalies in Sea SAR Imagery; Massimo Bertacca, Fabrizio Berizzi, and Enzo Dalle Mese
Spatial Techniques for Image Classification; Selim Aksoy
Data Fusion for Remote-Sensing Applications; Anne H.S. Solberg
The Hermite Transform: An Efficient Tool for Noise Reduction and Image Fusion in Remote-Sensing; Boris Escalante-Ramirez and Alejandra A. Lopez-Caloca
Multi-Sensor Approach to Automated Classification of Sea Ice Image Data; A.V. Bogdanov, S. Sandven, O.M. Johannessen, V.Yu. Alexandrov, and L.P. Bobylev
Use of the Bradley-Terry Model to Assess Uncertainty in an Error Matrix from a Hierarchical Segmentation of an ASTER Image; Alfred Stein, Gerrit Gort, and Arko Lucieer
SAR Image Classification by Support Vector Machine; Michifumi Yoshioka, Toru Fujinaka, and Sigeru Omatu
Quality Assessment of Remote Sensing Multi-Band Optical Images; Bruno Aiazzi, Luciano Alparone, Stefano Baronti, and Massimo Selva
Index
On the Normalized Hilbert Transform and Its Applications in Remote Sensing; Steven R. Long and Norden E. Huang
Statistical Pattern Recognition and Signal Processing in Remote Sensing; Chi Hau Chen
A Universal Neural Network-Based Infrasound Event Classifier; Fredric M. Ham and Ranjan Acharyya
Construction of Seismic Images by Ray Tracing; Enders A. Robinson
Multi-Dimensional Seismic Data Decomposition by Higher Order SVD and Unimodal ICA; Nicholas Le Bihan, Valeriu Vrabie, and Jerome I. Mars
Application of Factor Analysis in Seismic Profiling; Zhenhai Wang and Chi Hau Chen
Kalman Filtering for Weak Signal Detection in Remote Sensing; Stacy L. Tantum, Yingyi Tan, and Leslie M. Collins
Relating Time-Series of Meteorological and Remote Sensing Indices to Monitor Vegetation Moisture Dynamics; J. Verbesselt, P. Joensson, S. Lhermitte, I. Jonckheere, J. van Aardt, and P. Coppin
Use of a Prediction-Error Filter in Merging Highand Low-Resolution Images; Sang-Ho Yun and Howard Zebker
Blind Separation of Convolutive Mixtures for Canceling Active Sonar Reverberation; Fengyu Cong, Chi Hau Chen, Shaoling Ji, Peng Jia, and Xizhi Shi
Neural Network Retrievals of Atmospheric Temperature and Moisture Profiles from High-Resolution Infrared and Microwave Sounding Data; William J. Blackwell
Satellite-Based Precipitation Retrieval Using Neural Networks, Principal Component Analysis, and Image Sharpening; Frederick W. Chen
IMAGE PROCESSING FOR REMOTE SENSING
Polarimetric SAR Techniques for Remote Sensing of the Ocean Surface; Dale L. Schuler, Jong-Sen Lee, and Dayalan Kasilingam
MRF-Based Remote-Sensing Image Classification with Automatic Model Parameter Estimation; Sebastiano B. Serpico and Gabriele Moser
Random Forest Classification of Remote Sensing Data; Sveinn R. Joelsson, Jon Atli Benediktsson, and Johannes R. Sveinsson
Supervised Image Classification of Multi-Spectral Images Based on Statistical Machine Learning; Ryuei Nishii and Shinto Eguchi
Unsupervised Change Detection in Multi-Temporal SAR Images; Lorenzo Bruzzone and Francesca Bovolo
Change-Detection Methods for Location of Mines in SAR Imagery; Maria Tates, Nasser Nasrabadi, Heesung Kwon, and Carl White
Vertex Component Analysis: A Geometric-Based Approach to Unmix Hyperspectral Data; Jose M.B. Dias and Jose M.P. Nascimento
Two ICA Approaches for SAR Image Enhancement; Chi Hau Chen, Xianju Wang, and Salim Chitroub
Long-Range Dependence Models for the Analysis and Discrimination of Sea-Surface Anomalies in Sea SAR Imagery; Massimo Bertacca, Fabrizio Berizzi, and Enzo Dalle Mese
Spatial Techniques for Image Classification; Selim Aksoy
Data Fusion for Remote-Sensing Applications; Anne H.S. Solberg
The Hermite Transform: An Efficient Tool for Noise Reduction and Image Fusion in Remote-Sensing; Boris Escalante-Ramirez and Alejandra A. Lopez-Caloca
Multi-Sensor Approach to Automated Classification of Sea Ice Image Data; A.V. Bogdanov, S. Sandven, O.M. Johannessen, V.Yu. Alexandrov, and L.P. Bobylev
Use of the Bradley-Terry Model to Assess Uncertainty in an Error Matrix from a Hierarchical Segmentation of an ASTER Image; Alfred Stein, Gerrit Gort, and Arko Lucieer
SAR Image Classification by Support Vector Machine; Michifumi Yoshioka, Toru Fujinaka, and Sigeru Omatu
Quality Assessment of Remote Sensing Multi-Band Optical Images; Bruno Aiazzi, Luciano Alparone, Stefano Baronti, and Massimo Selva
Index