254.

[Cover] [Contents] [Index]

Page 326

Index

σ0, see sigma-nought

5S, see Simulation of the Sensor Signal in the Solar Spectrum

6S, see Second Simulation of the Sensor Signal in the Solar Spectrum


Absorption 5, 6, 12, 17

Accuracy, see Classification accuracy

Adaptive filter 43–53

Adaptive fuzzy c shells 73

Adaptive resonance theory 133–140

Adaptive resonance theory, choice of parameters 135–136

Adaptive resonance theory, description 133–135

Adaptive resonance theory, vigilance parameter 135–136

Amplitude 25, Fig. 1.12

Angular Second Moment, texture 214

ANN, see artificial neural network Annealing 129

Apparent reflectance 17

ART, see adaptive resonance theory

Artificial neural network, examples 141–148

Artificial neural network, overview 140–144

Artificial neural network 56, 79–81, 86, 93, 94, 100, 102–148

Artificial neural network, data coding for 108

Artificial neural network, generalising capability 108

Artificial neural network, mixed pixel problem 179–180

ARTMAP 133

Astronomical Unit 19

Atmospheric correction 12–21

Atmospheric interactions 5–6

Atmospheric window 6, Fig. 1.3

AU, see Astronomical Unit

Autologistic model 238

Automatic fuzzy rule extraction 85–86

AVHRR 8, 11

AVIRIS 11, 67

Azimuth angle Fig. 1.13

Azimuth resolution 26


Back-propagation learning algorithm 103–107

Backscatter 24

Band ratio 21

Bayesian classification theory 274–281, 296

Bayesian classification theory, refined 278–279

Bayesian formalism 86

Bayesian probability formula 77

Bayesian theory 230

B-distance 67

Belief function 283–286

[Cover] [Contents] [Index]


Classification Methods for Remotely Sensed Data
Classification Methods for Remotely Sensed Data, Second Edition
ISBN: 1420090720
EAN: 2147483647
Year: 2001
Pages: 354

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