NUST Institutions Library Catalogue

Image processing for remote sensing-(E-BOOK) edited by C.H. Chen.

Contributor(s): Chen, C. H [edt]Publisher: Boca Raton, FL : CRC Press/Taylor & Francis Group, cop. 2008Description: 380 sISBN: 1-4200-6664-1; 978-1-4200-6664-7Subject(s): Digital bildbehandling | Fj䲲analys | Image processing -- Digital techniques | Image processing | Remote sensing | Remote sensing -- Data processing | SensorerDDC classification: 006.6
Contents:
1. Polari metric SAR Techniques for Remote Sensing of the Ocean Surface (Page-1) 2. MRF-Based Remote-Sensing Image Classification with Automatic Model Parameter Estimation (page-9) 3. Random Forest Classification of Remote Sensing Data (page-61) 4. Supervised Image Classification of Multi-Spectral Images Based on Statistical Machine Learning (page-79)5. Unsupervised Change Detection in Multi-Temporal SAR Images (Page-107)6. Change-Detection Methods for Location of Mines in SAR Imagery (Page-135)7. Vertex Component Analysis: A Geometric-Based Approach to Unmix Hyper spectral Data (page-149)8. Two ICA Approaches for SAR Image Enhancement(Page-175)9. Long-Range Dependence Models for the Analysis and Discrimination of Sea-Surface Anomalies in Sea SAR Imagery (Page-189)10. Spatial Techniques for Image Classification (Page-225)11. Data Fusion for Remote-Sensing Applications (page-249)12. The Hermit Transform: An Efficient Tool for Noise Reduction and Image Fusion in Remote-Sensing (Page-273)13. Multi-Sensor Approach to Automated Classification of Sea Ice Image Data (Page-293)14. Use of the Bradley–Terry Model to Assess Uncertainty in an Error Matrix from a Hierarchical Segmentation of an ASTER Image (Page-325)15. SAR Image Classification by Support Vector Machine (Page-341)16. Quality Assessment of Remote-Sensing Multi-Band Optical Images (Page-355)
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Item type Current location Home library Collection Call number URL Status Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
NFIC 006.6 CHE (Browse shelf) Link to resource Available MCSEB-740
Total holds: 0

1. Polari metric SAR Techniques for Remote Sensing of the Ocean Surface (Page-1) 2. MRF-Based Remote-Sensing Image Classification with Automatic Model Parameter Estimation (page-9) 3. Random Forest Classification of Remote Sensing Data (page-61) 4. Supervised Image Classification of Multi-Spectral Images Based on Statistical Machine Learning (page-79)5. Unsupervised Change Detection in Multi-Temporal SAR Images (Page-107)6. Change-Detection Methods for Location of Mines in SAR Imagery (Page-135)7. Vertex Component Analysis: A Geometric-Based Approach to Unmix Hyper spectral Data (page-149)8. Two ICA Approaches for SAR Image Enhancement(Page-175)9. Long-Range Dependence Models for the Analysis and Discrimination of Sea-Surface Anomalies in Sea SAR Imagery (Page-189)10. Spatial Techniques for Image Classification (Page-225)11. Data Fusion for Remote-Sensing Applications (page-249)12. The Hermit Transform: An Efficient Tool for Noise Reduction and Image Fusion in Remote-Sensing (Page-273)13. Multi-Sensor Approach to Automated Classification of Sea Ice Image Data (Page-293)14. Use of the Bradley–Terry Model to Assess Uncertainty in an Error Matrix from a Hierarchical Segmentation of an ASTER Image (Page-325)15. SAR Image Classification by Support Vector Machine (Page-341)16. Quality Assessment of Remote-Sensing Multi-Band Optical Images (Page-355)

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