IMAGE PROCESSING FOR REMOTE SENSING (Hardcover)

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