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Page 327
Bias unit 105
Bidirectional reflectance distribution function 23
Boosting, decision tree 84
Box counting 191, 202–203, 205–206
BRDF, see Bidirectional reflectance distribution function
Brodatz texture 222, 223
C4.5 algorithm 83, 84
C5.0 algorithm 83, 84
Calibration coefficient 19
CART, see Classification and Regression Tree
CASI 11, 67
CEOS, see Committee for Earth Observation Satellites
Classification accuracy 92, 95–100, 145–146
Classification and Regression Tree 84
Clique 235, 236, 242, 257
Coefficient of variation 39, 40
Committee for Earth Observation Satellites 12
Complex number representation (of electromagnetic wave) 33, Fig. 1.19
Concentration 152
Confusion matrix 92, 95–96, 97, 147, 267, Fig. 2.13, Table 6.2
Context ix, 87, 88, 186, 231
Contrast, texture 211
Corner reflector 32
Correlation matrix 61, 64
Correspondence matrix 291–292
Counter-propagation network 102, 122–125
CoV, see Coefficient of variation
Covariance matrix 3, 39, 58, 61, 64, 65, 68, 70, 72, 90, 121, 251, 273
Covariance matrix, fuzzy 158
Covariance matrix, robust estimation of 95
Crisp set 151
Crossover, in genetic algorithm 293, Fig. 7.4
Cross-validation 95, 108
DAIS 11, 67
Dark object subtraction 13–14
Data reliability 272
Decision boundary viii, 56
Decision tree classifier 56, 81–85, 93, 100, Fig. 2.11
Decision tree, pruning 84
Defuzzification 159, 167–169
DEM, see Digital elevation model
Dempster-Schaefer theory 274, 281, 282
Depression angle Fig. 1.13, 26, 27
Digital elevation model 2, 23, 34, 87, 89
Digitised boundaries 90
Dilution 152
Discriminant analysis 179
Divergence index 67, 273, 290
Divergence, transformed 68
Doppler principle 27
Earth Observer 1 11
Eigenvalue 61, 65, 121
Eigenvector 61, 64, 65, 121
Electromagnetic spectrum 5, Fig. 1.2
Empirical line method 14
Entropy measure 173
Entropy, texture 216, 231
ENVISAT 11
Equal probability quantising 228
Error, spatial distribution of 99
ERS-1 43
ETM+, see Landsat ETM+
Euclidean distance 56, 69, 70, 76, 115, 118
Evidence combination 286–289
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