256.

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Page 328

Evidential reasoning 86, 87, 90, 274, 281–289, 296

Evidential reasoning, decision rules 289

FBM, see fractal Brownian motion

FCM algorithm, see Fuzzy means clustering algorithm

Feature selection 67–68

Feature space viii, 56

Foreshortening 28, 29–30, Fig. 1.17

Forward propagation Fig. 3.2

Fourier power spectrum 187, 208–210, 225

Fourier transform 94, 207, 208–209

Fractal Brownian motion 190, 205

Fractal dimension 94, 187, 188–190, 226

Fractal dimension, estimation of 190–202

Fractal, defined 188

Frequency domain filtering, 187, 207–212

Frequency 25, Fig. 1.12

Frost filter, 50–51

Fuzzification 160

Fuzzy ARTMAP 85, 136–140

Fuzzy c shells 73

Fuzzy classification 54, 55

Fuzzy classification, mixed pixels 176–179

Fuzzy clustering 72

Fuzzy c-means clustering 72, 153–157, 253

Fuzzy inference 165

Fuzzy maximum likelihood classification 157–159, 253

Fuzzy membership function 160–164

Fuzzy rule base 159–169

Fuzzy rules classification, example 169–176

Fuzzy set operations 152

Fuzzy set 137

Fuzzy set, definition 150

GA, see Genetic algorithm

Gain 19

Genetic algorithm 84, 292–295, 297

Geometric correction 9, 24

Geostatistical methods 223

Geostatistical model 90

Gibbs random field 231, 233–234

GLCM, see grey-level co-occurrence matrix

Grey-level co-occurrence matrix 187, 212–216, 219, 225–226

Grey-level co-occurrence matrix, texture features 214–216

Grossberg layer 118, 122

Ground control point matching 132

Ground truth 90

Hammersley-Clifford theorem 234

Hamming distance 109

Hausdorff-Besicovich dimension 188

Hebbian learning 116

Hidden layer 103, 122

Hidden layer, number of 108

Hierarchical clustering 118

Hopfield network 102, 125–132, 133

Hopfield network, convergence of 127–128

Hopfield network, dynamics 126–127

Hopfield network, energy function coding 131–132

Hopfield network, for ground control point matching 132

HRV, see SPOT HRV

Hughes effect ix, 58

Hurst coefficient 191

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