chapter 1 Polarimetric SAR Techniques for Remote Sensing of the Ocean Surface / chapter 2 MRF-Based Remote-Sensing Image Classification with Automatic Model Parameter Estimation / chapter 3 Random Forest Classification of Remote Sensing Data / chapter 4 Supervised Image Classification of Multi-Spectral Images Based on Statistical Machine Learning / chapter 5 Unsupervised Change Detection in Multi-Temporal SAR Images / chapter 6 Change-Detection Methods for Location of Mines in SAR Imagery / chapter 7 Vertex Component Analysis: A Geometric-Based Approach to Unmix Hyperspectral Data / chapter 8 Two ICA Approaches for SAR Image Enhancement / chapter 9 Long-Range Dependence Models for the Analysis and Discrimination of Sea-Surface Anomalies in Sea SAR Imagery / chapter 10 Spatial Techniques for Image Classification / chapter 11 Data Fusion for Remote-Sensing Applications / chapter 12 The Hermite Transform: An Efficient Tool for Noise Reduction and Image Fusion in Remote-Sensing / chapter 13 Multi-Sensor Approach to Automated Classification of Sea Ice Image Data / chapter 14 Use of the Bradley–Terry Model to Assess Uncertainty in an Error Matrix from a Hierarchical Segmentation of an ASTER Image / chapter 15 SAR Image Classification by Support Vector Machine / chapter 16 Quality Assessment of Remote-Sensing Multi-Band Optical Images