ALBERT

Note: Contents: List of Contributors. - Preface. - Part I. Introduction: 1. Applications and uses of diatoms: prologue ; 2. The diatoms: a primer ; 3. Numerical methods for the analysis of diatom assemblage data ; Part II. Diatoms as indicators of environmental change in flowing waters and lakes: 4. Assessing environmental conditions in rivers and streams with diatoms ; 5. Diatoms as indicators of long-term environmental change in rivers, fluvial lakes and impoundments ; 6. Diatoms as indicators of surface-water acidity ; 7. Diatoms as indicators of lake eutrophication ; 8. Diatoms as indicators of environmental change in shallow lakes ; 9. Diatoms as indicators of water-level change in freshwater lakes ; 10. Diatoms as indicators of hydrologic and climatic change in saline lakes ; 11. Diatoms in ancient lakes ; Part III. Diatoms as Indicators in Arctic, Antarctic and alpine lacustrine environments: 12. Diatoms as indicators of environmental change in subarctic and alpine regions ; 13. Freshwater diatoms as indicators of environmental change in the High Arctic ; 14. Diatoms as indicators of environmental change in Antarctic and subantarctic freshwaters ; Part IV. Diatoms as indicators in marine and estuarine environments: 15. Diatoms and environmental change in large brackish-water ecosystems ; 16. Applied diatom studies in estuaries and shallow coastal environments ; 17. Estuarine paleoenvironmental reconstructions using diatoms ; 18. Diatoms on coral reefs and in tropical marine lakes ; 19. Diatoms as indicators of former sea levels, earthquakes, tsunamis and hurricanes ; 20. Marine diatoms as indicators of modern changes in oceanographic conditions ; 21. Holocene marine diatom records of environmental change ; 22. Diatoms as indicators of paleoceanographic events ; 23. Reconsidering the meaning of biogenic silica accumulation rates in the glacial Southern Ocean ; Part V. Other applications: 24. Diatoms of aerial habitats ; 25. Diatoms as indicators of environmental change in wetlands and peatlands ; 26. Tracking fish, seabirds, and wildlife population dynamics with diatoms and other limnological indicators ; 27. Diatoms and archaeology ; 28. Diatoms in oil and gas exploration ; 29. Forensic science and diatoms ; 30. Toxic marine diatoms ; 31. Diatoms as markers of atmospheric transport ; 32. Diatoms as nonnative species ; 33. Diatomite ; 34. Stable isotopes from diatom silica ; 35. Diatoms and nanotechnology: early history and imagined future as seen through patents ; Part IV. Conclusions: 36. Epilogue: a view to the future ; Glossary, acronyms, and abbreviations ; Index.

Note: CONTENTS PREFACE PREFACE TO THE SECOND EDITION ACKNOWLEDGEMENTS PART ONE GLACIERS 1 INTRODUCTION 1.1 Glacier systems 1.1.1 Mass balance 1.1.2 Meltwater 1.1.3 Glacier motion 1.1.4 Glaciers and sea-level change 1.1.5 Erosion and debris transport 1.1.6 Glacial sediments, landforms and landscapes 1.2 Glacier morphology 1.2.1 Ice sheets and ice caps 1.2.2 Glaciers constrained by topography 1.2.3 Ice shelves 1.3 Present distribution of glaciers 1.3.1 Influence of latitude and altitude 1.3.2 Influence of aspect, relief and distance from a moisture source 1.4 Past distribution of glaciers 1.4.1 'Icehouse' and 'greenhouse' worlds 1.4.2 Cenozoic glaciation 2 SNOW, ICE AND CLIMATE 2.1 Introduction 2.2 Surface energy balance 2.2.1 Changes of state and temperature 2.2.2 Shortwave radiation 2.2.3 Longwave radiation 2.2.4 Sensible and latent heat: turbulent fluxes 2.2.5 Energy supplied by rain 2.2.6 Why is glacier ice blue? 2.3 Ice temperature 2.3.1 The melting point of ice 2.3.2 Controls on ice temperature 2.3.3 Thermal structure of glaciers and ice sheets 2.4 Processes of accumulation and ablation 2.4.1 Snow and ice accumulation 2.4.2 Transformation of snow to ice 2.4.3 Melting of snow and ice 2.4.4 Sublimation and evaporation 2.4.5 The influence of debris cover 2.5 Mass balance 2.5.1 Definitions 2.5.2 Measurement of mass balance 2.5.3 Annual mass balance cycles 2.5.4 Mass balance gradients 2.5.5 The equilibrium line 2.5.6 Glaciation levels or glaciation thresholds 2.5.7 Glacier sensitivity to climate change 2.6 Glacier-climate interactions 2.6.1 Effects of glaciers and ice sheets on the atmosphere 2.7 Ice cores 2.7.1 Ice coring programmes 2.7.2 Stable isotopes 2.7.3 Ancient atmospheres: the gas content of glacier ice 2.7.4 Solutes and particulates 3 GLACIER HYDROLOGY 3.1 Introduction 3.2 Basic concepts 3.2.1 Water sources and routing 3.2.2 Hydraulic potential 3.2.3 Resistance to flow 3.2.4 Channel wall processes: melting, freezing and ice deformation 3.3 Supraglacial and englacial drainage 3.3.1 Supraglacial water storage and drainage 3.3.2 Englacial drainage 3.4 Subglacial drainage 3.4.1 Subglacial channels 3.4.2 Water films 3.4.3 Linked cavity systems 3.4.4 Groundwater flow 3.4.5 Water at the ice-sediment interface 3.5 Glacial hydrological systems 3.5.1 Temperate glaciers 3.5.2 Polythermal glaciers 3.5.3 Modelling glacial hydrological systems 3.6 Proglacial runoff 3.6.1 Seasonal and shorter-term cycles 3.6.2 Runoff and climate change 3.7 Glacial lakes and outburst floods 3.7.1 Introduction 3.7.2 Moraine-dammed lakes 3.7.3 Ice-dammed lakes 3.7.4 Icelandic subglacial lakes 3.7.5 Estimating GLOF magnitudes 3.8 Life in glaciers 3.8.1 Supraglacial ecosystems 3.8.2 Subglacial ecosystems 3.9 Glacier hydrochemistry 3.9.1 Overview 3.9.2 Snow chemistry 3.9.3 Chemical weathering processes 3.9.4 Subglacial chemical weathering 3.9.5 Proglacial environments 3.9.6 Rates of chemical erosion 4 PROCESSES OF GLACIER MOTION 4.1 Introduction 4.2 Stress and strain 4.2.1 Stress 4.2.2 Strain 4.2.3 Rheology: stress-strain relationships 4.2.4 Force balance in glaciers 4.3 Deformation of ice 4.3.1 Glen's Flow Law 4.3.2 Crystal fabric, impurities and water content 4.3.3 Ice creep velocities 4.4 Sliding 4.4.1 Frozen beds 4.4.2 Sliding of wet-based ice 4.4.3 Glacier-bed friction 4.4.4 The role of water 4.5 Deformable beds 4.5.1 The Boulton-Hindmarsh model 4.5.2 Laboratory testing of subglacial tills 4.5.3 Direct observations of deformable glacier beds 4.5.4 Rheology of subglacial till 4.6 Rates of basal motion 4.6.1 'Sliding laws' 4.6.2 Local and non-local controls on ice velocity 4.7 Crevasses and other structures: strain made visible 4.7.1 Crevasses 4.7.2 Crevasse patterns 4.7.3 Layering, foliation and related structures 5 GLACIER DYNAMICS 5.1 Introduction 5.2 Understanding glacier dynamics 5.2.1 Balance velocities 5.2.2 Deviations from the balance velocity 5.2.3 Changes in ice thickness: continuity 5.2.4 Thermodynamics 5.3 Glacier models 5.3.1 Overview 5.3.2 Equilibrium glacier profiles 5.3.3 Time-evolving glacier models 5.4 Dynamics of valley glaciers 5.4.1 Intra-annual velocity variations 5.4.2 Multi-annual variations 5.5 Calving glaciers 5.5.1 Flow of calving glaciers 5.5.2 Calving processes 5.5.3 'Calving laws' 5.5.4 Advance and retreat of calving glaciers 5.6 Ice shelves 5.6.1 Mass balance of k e shelves 5.6.2 Flow of ice shelves 5.6.3 Ice shelf break-up 5.7 Glacier surges 5.7.1 Overview 5.7.2 Distribution of surging glaciers 5.7.3 Temperate glacier surges 5.7.4 Polythermal surging glaciers 5.7.5 Surge mechanisms 6 THE GREENLAND AND ANTARCTIC ICE SHEETS 6.1 Introduction 6.2 The Greenland Ice Sheet 6.2.1 Overview 6.2.2 Climate and surface mass balance 6.2.3 Ice sheet flow 6.2.4 Ice streams and outlet glaciers 6.3 The Antarctic Ice Sheet 6.3.1 Overview 6.3.2 Climate and mass balance 6.3.3 Flow of inland ice 6.3.4 Ice streams 6.3.5 Hydrology and subglacial lakes 6.3.6 Ice stream stagnation and reactivation 6.3.7 Stability of the West Antarctic Ice Sheet 7 GLACIERS AND SEA LEVEL CHANGE 7.1 Introduction 7.2 Causes of sea-level change 7.2.1 Overview 7.2.2 Glacio-eustasy and global ice volume 7.2.3 Glacio-isostasy and ice sheet loading 7.3 Sea-level change over glacial-interglacial cycles 7.3.1 Ice sheet fluctuations and eustatic sea-level change 7.3.2 Sea-level histories in glaciated regions 7.4 Glaciers and recent sea-level change 7.4.1 Recorded sea-level change 7.4.2 Global glacier mass balance 7.5 Future sea-level change 7.5.1 IPCC climate and sea-level projections 7.5.2 Predicting the glacial contribution to sea-level change PART TWO GLACIATION 8 EROSIONAL PROCESSES, FORMS AND LANDSCAPES 8.1 Introduction 8.2 Subglacial erosion 8.2.1 Rock fracture: general principles 8.2.2 Abrasion 8.2,3 Quarrying 8.2.4 Erosion beneath cold ice 8.2.5 Erosion of soft beds 8.3 Small-scale erosional forms 8.3.1 Striae and polished surfaces 8.3.2 Rat tails 8.3.3 Chattermarks, gouges and fractures 8.3.4 P-forms 8.4 Intermediate-scale erosional forms 8.4.1 Roches moutonnees 8.4.2 Whalebacks and rock drumlins 8.4.3 Crag and tails 8.4.4 Channels 8.5 Large-scale erosional landforms 8.5.1 Rock basins and overdeepenings 8.5.2 Basins and overdeepenings in soft sediments 8.5.3 Troughs and fjords 8.5.4 Cirques 8.5.5 Strandflats 8.6 Landscapes of glacial erosion 8.6.1 Areal scouring 8.6.2 Selective linear erosion 8.6.3 Landscapes of little or no glacial erosion 8.6.4 Alpine landscapes 8.6.5 Cirque landscapes 8.6.6 Continent-scale patterns of erosion 9 DEBRIS ENTRAPMENT AND TRANSPORT 9.1 Introduction 9.2 Approaches to the study of glacial sediments 9.2.1 The glacial debris cascade 9.2.2 Spatial hierarchies of sediments and landforms 9.3 Glacial debris entrainment 9.3.1 Supraglacial debris entrainment 9.3.2 Incorporation of debris into basal ice 9.4 Debris transport and release 9.4.1 Subglacial transport 9.4.2 High-level debris transport 9.4.3 Glacifluvial transport 9.5 Effects of transport on debris 9.5.1 Granulometry 9.5.2 Clast morphology 9.5.3 Particle micromorphology 10 GLACIGENIC SEDIMENTS AND DEPOSITIONAL PROCESSES 10.1 Introduction 10.2 Sediment description and classification 10.2.1 Sediment description 10.2.2 Deformation structures 10.2.3 Primary and secondary deposits 10.3 Primary glacigenic deposits (till) 10.3.1 Overview 10.3.2 Processes of subglacial till formation 10.3.3 Glacitectonite 10.3.4 Subglacial traction till 10.4 Glacifluvial deposits 10.4.1 Terminology and classification of glacifluvial sediments 10.4.2 Plane bed deposits 10.4.3 Ripple cross-laminated facies 10.4.4 Dunes 10.4.5 Antidunes 10.4.6 Scour and minor channel fills 10.4.7 Gravel sheets 10.4.8 Silt and mud drapes 10.4.9 Hyperconcentrated flow deposits 10.5 Gravitational mass movement deposits and syn-sedimentary deformation structures 10.5.1 Overview 10.5.2 Fall deposits 10.5.3 Slide and slump deposits 10.5.4 Debris (sediment-gravity) flow deposits 10.5.5

Note: Contents: F–1. GLACIERS OF THE FORMER SOVIET UNION / VLADIMIR M. KOTLYAKOV, with contributions from A.M. DYAKOVA (Siberia), V.S. KORYAKIN (Russian Arctic Islands), V.I. KRAVTSOVA (Caucasus, Altay), G.B. OSIPOVA (Tien Shan), G.M. VARNAKOVA (Pamirs and Alai Range), V.N. VINOGRADOV (Kamchatka), O.N. VINOGRADOV (Caucasus), and N.M. ZVERKOVA (Ural Mountains and Taymyr Peninsula) Sections on FLUCTUATIONS OF GLACIERS OF THE CENTRAL CAUCASUS AND GORA EL’BRUS (With a subsection on THE GLACIOLOGICAL DISASTER IN NORTH OSETIYA / VLADIMIR M. KOTLYAKOV, O.V. ROTOTAEVA, and G.A. NOSENKO INVESTIGATIONS OF THE FLUCTUATIONS OF SURGE-TYPE GLACIERS IN THE PAMIRS BASED ON OBSERVATIONS FROM SPACE / VLADIMIR M. KOTLYAKOV, G.B. OSIPOVA, and D.G. TSVETKOV THE GLACIOLOGY OF THE RUSSIAN HIGH ARCTIC FROM LANDSAT IMAGERY / J.A. DOWDESWELL, E.K. DOWDESWELL, M. WILLIAMS, and A.F. GLAZOVSKII F–2. GLACIERS OF CHINA / SHI YAFENG, MI DESHENG, YAO TANDONG, ZENG QUNZHU, and LIU CHAOHAI F–3 GLACIERS OF AFGHANISTAN / JOHN E. SHRODER , JR ., and MICHAEL P. BISHOP F–4 GLACIERS OF PAKISTAN / JOHN E. SHRODER , JR ., and MICHAEL P. BISHOP F–5 GLACIERS OF INDIA / CHANDER P. VOHRA Updated supplement on A STUDY OF SELECTED GLACIERS UNDER THE CHANGING CLIMATE REGIME / SYED IQBAL HASNAIN, RAJESH KUMAR , SAFARAZ AHMAD, and SHRESTH TAYAL F–6 GLACIERS OF NEPAL — GLACIER DISTRIBUTION IN THE NEPAL HIMALAYA WITH COMPARISON TO THE KARAKORAM RANGE / KEIJI HIGUCHI, OKITSUGU WATANABE, HIROJI FUSHIMI, SHUHEI TAKENAKA, and AKIO NAGOSHI, Supplement by YUTAKA AGETA F–7 GLACIERS OF BHUTAN / SHUJI IWATA F–8 THE PALEOENVIRONMENTAL RECORD PRESERVED IN MIDDLE-LATITUDE, HIGH-MOUNTAIN GLACIERS: AN OVERVIEW OF U.S. GEOLOGICAL SURVEY RESEARCH IN CENTRAL ASIA AND THE UNITED STATES / L. DeWAYNE CECIL, DAVID L. NAFTZ, PAUL F. SCHUSTER , DAVID D. SUSONG, and JAROMY R . GREEN

Note: Cotents: Teil I: R-Grundlagen: 1 Beschaffung und Installation von R. - 2 Die R-Benutzerschnittstelle. - 3 Kurzeinführung in R. - 4 R-Pakete. - Teil II: Die Programmiersprache R: 5 Überblick über die Programmiersprache R. - 6 R-Syntax. - 7 R-Objekte. - 8 Symbole und Umgebungen. - 9 Funktionen. - 10 Objektorientierte Programmierung. - 11 Hochperformantes R. - Teil II: Daten aufbereiten und darstellen: 12 Daten speichern, laden und bearbeiten. - 13 Datenaufbereitung. - 14 Grafik. - 15 Trellis-Grafik mit Lattice. - Teil IV: Statistik mit R: 16 Datenexploration. - 17 Wahrscheinlichkeitsverteilungen. - 18 Statistische Testverfahren. - 19 Poweranalyse. - 20 Regressionsmodelle. - 21 Klassifikationsmodelle. - 22 Maschinelles Lernen. - 23 Zeitreihenanalyse. - 24 Bioconductor. - Anhang A: Funktionsreferenz. - Anhang B: Datensatzreferenz. - Literatur. - Index

Note: Contents: 1 Carbon on earth. - 2 The stable geologic carbon cycle. - 3 The unstable ice age carbon cycle. - 4 The present and future carboncycle - stable or unstable?. - 5 Methane.

Note: Contents Preface to the Second Edition Preface to the First Edition 1. Images, Arrays, and Matrices 1.1 Multispectral Satellite Images 1.2 Algebra of Vectors and Matrices 1.2.1 Elementary Properties 1.2.2 Square Matrices 1.2.3 Singular Matrices 1.2.4 Symmetric, Positive Definite Matrices 1.2.5 Linear Dependence and Vector Spaces 1.3 Eigenvalues and Eigenvectors 1.4 Singular Value Decomposition 1.5 Vector Derivatives 1.6 Finding Minima and Maxima 1.7 Exercises 2. Image Statistics 2.1 Random Variables 2.1.1 Discrete Random Variables 2.1.2 Continuous Random Variables 2.1.3 Normal Distribution 2.2 Random Vectors 2.3 Parameter Estimation 2.3.1 Sampling a Distribution 2.3.2 Interval Estimation 2.3.3 Provisional Means 2.4 Hypothesis Testing and Sample Distribution Functions 2.4.1 Chi-Square Distribution 2.4.2 Student-t Distribution 2.4.3 F-Distribution 2.5 Conditional Probabilities, Bayes' Theorem, and Classification 2.6 Ordinary Linear Regression 2.6.1 One Independent Variable 2.6.2 More Than One Independent Variable 2.6.3 Regularization, Duality, and the Gram Matrix 2.7 Entropy and Information 2.7.1 Kullback-Leibler Divergence 2.7.2 Mutual Information 2.8 Exercises 3. Transformations 3.1 Discrete Fourier Transform 3.2 Discrete Wavelet Transform 3.2.1 Haar Wavelets 3.2.2 Image Compression 3.2.3 Multiresolution Analysis 3.2.3.1 Dilation Equation and Refinement Coefficients 3.2.3.2 Cascade Algorithm 3.2.3.3 Mother Wavelet 3.2.3.4 Daubechies D4 Scaling Function 3.3 Principal Components 3.3.1 Primal Solution 3.3.2 Dual Solution 3.4 Minimum Noise Fraction 3.4.1 Additive Noise 3.4.2 Minimum Noise Fraction Transformation in ENVI 3.5 Spatial Correlation 3.5.1 Maximum Autocorrelation Factor 3.5.2 Noise Estimation 3.6 Exercises 4. Filters, Kernels, and Fields 4.1 Convolution Theorem 4.2 Linear Filters 4.3 Wavelets and Filter Banks 4.3.1 One-Dimensional Arrays 4.3.2 Two-Dimensional Arrays 4.4 Kernel Methods 4.4.1 Valid Kernels 4.4.2 Kernel PCA 4.5 Gibbs-Markov Random Fields 4.6 Exercises 5. Image Enhancement and Correction 5.1 Lookup Tables and Histogram Functions 5.2 Filtering and Feature Extraction 5.2.1 Edge Detection 5.2.2 Invariant Moments 5.3 Panchromatic Sharpening 5.3.1 HSV Fusion 5.3.2 Brovey Fusion 5.3.3 PCA Fusion 5.3.4 DWT Fusion 5.3.5 A Trous Fusion 5.3.6 Quality Index 5.4 Topographic Correction 5.4.1 Rotation, Scaling, and Translation 5.4.2 Imaging Transformations 5.4.3 Camera Models and RFM Approximations 5.4.4 Stereo Imaging and Digital Elevation Models 5.4.5 Slope and Aspect 5.4.6 Illumination Correction 5.5 Image-Image Registration 5.5.1 Frequency-Domain Registration 5.5.2 Feature Matching 5.5.2.1 High-Pass Filtering 5.5.2.2 Closed Contours 5.5.2.3 Chain Codes and Moments 5.5.2.4 Contour Matching 5.5.2.5 Consistency Check 5.5.2.6 Implementation in IDL 5.5.3 Resampling and Warping 5.6 Exercises 6. Supervised Classification: Part 1 6.1 Maximum a Posteriori Probability 6.2 Training Data and Separability 6.3 Maximum Likelihood Classification 6.3.1 ENVI's Maximum Likelihood Classifier 6.3.2 Modified Maximum Likelihood Classifier 6.4 Gaussian Kernel Classification 6.5 Neural Networks 6.5.1 Neural Network Classifier 6.5.2 Cost Functions 6.5.3 Backpropagation 6.5.4 Overfitting and Generalization 6.6 Support Vector Machines 6.6.1 Linearly Separable Classes 6.6.1.1 Primal Formulation 6.6.1.2 Dual Formulation 6.6.1.3 Quadratic Programming and Support Vectors 6.6.2 Overlapping Classes 6.6.3 Solution with Sequential Minimal Optimization 6.6.4 Multiclass SVMs 6.6.5 Kernel Substitution 6.6.6 Modified SVM Classifier 6.7 Exercises 7. Supervised Classification: Part 2 7.1 Postprocessing 7.1.1 Majority Filtering 7.1.2 Probabilistic Label Relaxation 7.2 Evaluation and Comparison of Classification Accuracy 7.2.1 Accuracy Assessment 7.2.2 Model Comparison 7.3 Adaptive Boosting 7.4 Hyperspectral Analysis 7.4.1 Spectral Mixture Modeling 7.4.2 Unconstrained Linear Unmixing 7.4.3 Intrinsic End-Members and Pixel Purity 7.5 Exercises 8. Unsupervised Classification 8.1 Simple Cost Functions 8.2 Algorithms That Minimize the Simple Cost Functions 8.2.1 K-Means Clustering 8.2.2 Kernel K-Means Clustering 8.2.3 Extended K-Means Clustering 8.2.4 Agglomerative Hierarchical Clustering 8.2.5 Fuzzy K-Means Clustering 8.3 Gaussian Mixture Clustering 8.3.1 Expectation Maximization 8.3.2 Simulated Annealing 8.3.3 Partition Density 8.3.4 Implementation Notes 8.4 Including Spatial Information 8.4.1 Multiresolution Clustering 8.4.2 Spatial Clustering 8.5 Benchmark 8.6 Kohonen Self-Organizing Map 8.7 Image Segmentation 8.7.1 Segmenting a Classified Image 8.7.2 Object-Based Classification 8.7.3 Mean Shift 8.8 Exercises 9. Change Detection 9.1 Algebraic Methods 9.2 Postclassification Comparison 9.3 Principal Components Analysis 9.3.1 Iterated PCA 9.3.2 Kernel PCA 9.4 Multivariate Alteration Detection 9.4.1 Canonical Correlation Analysis 9.4.2 Orthogonality Properties 9.4.3 Scale Invariance 9.4.4 Iteratively Reweighted MAD 9.4.5 Correlation with the Original Observations 9.4.6 Regularization 9.4.7 Postprocessing 9.5 Decision Thresholds and Unsupervised Classification of Changes 9.6 Radiometrie Normalization 9.7 Exercises Appendix A: Mathematical Tools A.l Cholesky Decomposition A.2 Vector and Inner Product Spaces A.3 Least Squares Procedures A.3.1 Recursive Linear Regression A.3.2 Orthogonal Linear Regression Appendix B: Efficient Neural Network Training Algorithms B.1 Hessian Matrix B.1.1 R-Operator B.1.1.1 Determination of Rv{n} B.1.1.2 Determination of Rv{δo} B.1.1.3 Determination of Rv{δh} B.1.2 Calculating the Hessian B.2 Scaled Conjugate Gradient Training B.2.1 Conjugate Directions B.2.2 Minimizing a Quadratic Function B.2.3 Algorithm B.3 Kaiman Filter Training B.3.1 Linearization B.3.2 Algorithm B.4 A Neural Network Classifier with Hybrid Training Appendix C: ENVI Extensions in IDL C.1 Installation C.2 Extensions C.2.1 Kernel Principal Components Analysis C.2.2 Discrete Wavelet Transform Fusion C.2.3 A Trous Wavelet Transform Fusion C.2.4 Quality Index C.2.5 Calculating Heights of Man-Made Structures in High-Resolution Imagery C.2.6 Illumination Correction C.2.7 Image Registration C.2.8 Maximum Likelihood Classification C.2.9 Gaussian Kernel Classification C.2.10 Neural Network Classification C.2.11 Support Vector Machine Classification C.2.12 Probabilistic Label Relaxation C.2.13 Classifier Evaluation and Comparison C.2.14 Adaptive Boosting a Neural Network Classifier C.2.15 Kernel K-Means Clustering C.2.16 Agglomerative Hierarchical Clustering C.2.17 Fuzzy K-Means Clustering C.2.18 Gaussian Mixture Clustering C.2.19 Kohonen Self-Organizing Map C.2.20 Classified Image Segmentation C.2.21 Mean Shift Segmentation C.2.22 Multivariate Alteration Detection C.2.23 Viewing Changes C.2.24 Radiometric Normalization Appendix D: Mathematical Notation References Index