Spectral-Spatial Classification of Hyperspectral Remote Sensing Images

• Main Authors: Benediktsson, Jon Atli, Ghamisi, Pedram
• Format: eBook
• Language: English
• Published: Norwood, MA Artech House 2015
• Edition: 1
• Series: Artech House remote sensing series
• Subjects: Image processing; Multispectral imaging; Remote sensing
• ISBN: 1608078124; 9781608078127

This comprehensive new resource presents recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods.

Table of Contents:

• Intro -- Spectral-Spatial Classification of Hyperspectral Remote Sensing Images -- Contents -- Foreword -- Acknowledgments -- Chapter 1 Introduction -- 1.1 INTRODUCTION TO HYPERSPECTRAL IMAGING SYSTEMS -- 1.2 HIGH-DIMENSIONAL DATA -- 1.2.1 Geometrical and Statistical Properties of High Dimensional Data and the Need for Feature Reduction -- 1.2.2 Conventional Spectral Classifiers and the Importance of Considering Spatial Information -- 1.3 SUMMARY -- Chapter 2 Classification Approaches -- 2.1 CLASSIFICATION -- 2.2 STATISTICAL CLASSIFICATION -- 2.2.1 Support Vector Machines -- 2.2.2 Neural Network Classifiers -- 2.2.3 Decision Tree Classifiers -- 2.3 MULTIPLE CLASSIFIERS -- 2.3.1 Boosting -- 2.3.2 Bagging -- 2.3.3 Random Forest -- 2.4 THE ECHO CLASSIFIER -- 2.5 ESTIMATION OF CLASSIFICATION ERROR -- 2.5.1 Confusion Matrix -- 2.5.2 Average Accuracy (AA) -- 2.6 SUMMARY -- Chapter 3 Feature Reduction -- 3.1 FEATURE EXTRACTION (FE) -- 3.1.1 Principal Component Analysis (PCA) -- 3.1.2 Independent Component Analysis -- 3.1.3 Discriminant Analysis Feature Extraction (DAFE) -- 3.1.4 Decision Boundary Feature Extraction (DBFE) -- 3.1.5 Nonparametric Weighted Feature Extraction (NWFE) -- 3.2 FEATURE SELECTION -- 3.2.1 Supervised and Unsupervised Feature Selection Techniques -- 3.2.2 Evolutionary-Based Feature Selection Techniques -- 3.2.3 Genetic Algorithm (GA)-Based Feature Selection -- 3.2.4 Particle Swarm Optimization (PSO)-Based Feature Selection -- 3.2.5 Hybrid Genetic Algorithm Particle Swarm Optimization (HGAPSO)-Based Feature Selection -- 3.2.6 FODPSO-Based Feature Selection -- 3.3 SUMMARY -- Chapter 4 Spatial Information Extraction Using Segmentation -- 4.1 SOME APPROACHES FOR THE INTEGRATION OF SPECTRAL AND SPATIAL INFORMATION -- 4.1.1 Feature Fusion into a Stacked Vector -- 4.1.2 Composite Kernel
• 4.1.3 Spectral-Spatial Classification Using Majority Voting -- 4.2 CLUSTERING APPROACHES -- 4.2.1 K-Means -- 4.2.2 Fuzzy C-Means Clustering (FCM) -- 4.2.3 Particle Swarm Optimization (PSO)-Based FCM (PSO-FCM) -- 4.3 EXPECTATION MAXIMIZATION (EM) -- 4.4 MEAN-SHIFT SEGMENTATION (MSS) -- 4.5 WATERSHED SEGMENTATION (WS) -- 4.6 HIERARCHICAL SEGMENTATION (HSEG) -- 4.7 SEGMENTATION AND CLASSIFICATION USING AUTOMATICALLY SELECTED MARKERS -- 4.7.1 Marker Selection Using Probabilistic SVM -- 4.7.2 Multiple Classifier Approach for Marker Selection -- 4.7.3 Construction of a Minimum Spanning Forest (MSF) -- 4.8 THRESHOLDING-BASED SEGMENTATION TECHNIQUES -- 4.8.1 Image Thresholding -- 4.8.2 Classification Based on Thresholding-Based Image Segmentation -- 4.8.3 Experimental Evaluation of Different Spectral-Spatial Classification Approaches Based on Different Segmentation Methods -- 4.9 SUMMARY -- Chapter 5 Morphological Profile -- 5.1 MATHEMATICAL MORPHOLOGY (MM) -- 5.1.1 Morphological Operators -- 5.1.2 Morphological Profile (MP) -- 5.1.3 Morphological Neighborhood -- 5.1.4 Spectral-Spatial Classification -- 5.2 SUMMARY -- Chapter 6 Attribute Profiles -- 6.1 FUNDAMENTAL PROPERTIES -- 6.2 MORPHOLOGICAL ATTRIBUTE FILTER (AF) -- 6.2.1 Attribute Profile and Its Extension to Hyperspectral Images -- 6.3 SPECTRAL-SPATIAL CLASSIFICATION BASED ON AP -- 6.3.1 Strategy 1 -- 6.3.2 Strategy 2 -- 6.4 SUMMARY -- Chapter 7 Conclusion and Future Works -- 7.1 CONCLUSIONS -- 7.2 PERSPECTIVES -- Appendix A: CEM Clustering -- Appendix B: Spectral Angle Mapper (SAM) -- Appendix C: Prim's Algorithm -- Appendix D: Data Sets Description -- Abbreviations and Acronyms -- Bibliography -- About the Authors -- Index