Image processing for remote sensing /
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| Imprint: | Boca Raton : CRC Press/Taylor & Francis Group, c2008. |
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| Description: | 380 p., [20] p. of plates : ill. (some col.) ; 26 cm. |
| Language: | English |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/6631340 |
Table of Contents:
- 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
- Index
