Table of Contents

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 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-Ramírez and Alejandra A. López-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

Reviews

"...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