Signal and Image Processing for Remote Sensing

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9780849350917: Signal and Image Processing for Remote Sensing
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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.

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"...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

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Book Description CRC Press/Star Educational Books Distributors, 2006. Hardcover. Condition: New. 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. 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 Jérôme 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. Jönsson, 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; José M.B. Dias and José 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 o Printed Pages: 672. Seller Inventory # 54854

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Book Description CRC Press/Star Educational Books Distributors, 2006. Hardcover. Condition: New. 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. 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 Jà rà me 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. Jà nsson, 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; Josà M.B. Dias and Josà 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 o Printed Pages: 672. Seller Inventory # 54854

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