320
K
kappa(K) 77,269,275,276
Karush-Kuhn-Tucker (KKT) theorem 142
Kernel Adatron (KA) 153
kernel functions 7,100,102,135,139,147,
148,237,239,240,243,248,250,252-254
kernel matrix 150
kernel trick 135
k-means algorithm 7,69,225,229-232,
235
k-nearest neighbors (k-NN) algorithm
238
Kullback-Leibler distance 90
Kurtosis 111-113,122-124,126,199,221
L
Ll -distance 69, 77
L2 -distance 69
Lagrange multipliers 140-142,145,147,
153
Lagrangian SVM (LSVM) 154,238,241,
245,246,248,252
LANDSAT 12, 13,24,27,39,61,92,96,
181,191-193,195,238,241,257,290
Land-Surface Processes and Interactions
Mission (LSPIM) 24
Laplacian of Gaussian (LoG) 65
leaf area index (LAI) 36, 40
leptokurtic 111, 218
likelihood 34,119,219,265
linear filters 63, 294, 295
linearinterpolation 93,94,96,97,99,189,
192, 194, 196, 197
linear mixture model/modeling (LMM)
75, 125, 126, 129
linear programming (LP) 152-154
linear separating hyperplane 134, 135,
138,139,143,144,146,147,237
linear spectral random mixture analysis
(LSRMA) 218
log-likelihood 222
LOQO 153
low pass filter 295, 299
M
machine learning 5,7,133,134
Mahalanobis distance 151
Index
margin 134, 140, 142, 143, 149, 153, 154,
214,237
marginal distribution 162, 167
marginal entropy 97
marginal probability mass functions 90,
91
Markov Chain 159, 168, 170, 175,276,
297-299
Markov random field (MRF) 4,6, 7, 75,
80,81,159-162,164-167,176,177,
257-259,265,269,270,272,275,276,
279-282,284,286,289,292,294,
306
M-ary hypothesis 261,284,295
maximum a posteriori (MAP) 67,68, 160,
161,167,168,170,172,175-177,261,265,
280,281,284,294,296,306
maximum likelihood classifier (MLC) 72,
74,75,133,134,166,238,270
maximum likelihood estimate (MLE)
261-263,269,270,272,275,298,299
maximum pseudo likelihood estimation
(MPLE) 263,268,290
mean square difference (MSD) 190-192,
194-197
Mercer's theorem 147
Medium Resolution Imaging Spectrometer
(MERIS) 23-27,74
Metropolis algorithm 160,167,173-175,
177,294,297-299,306
Metropolis-Hasting (MH) algorithm 160,
173
millimeter wave (MMW) image 293
minimal mutual information (MMI) 116,
119,120,126,204
MINOS 153
mixed pixel 7,29,31,33,71,74,75,124,
237,239,357-259,293
modified partial least squares (MPLS) 35
Moderate Resolution Imaging
Spectrometer (MODIS) 17,21,23-27,
31,37,74,257
Modular Airborne Imaging Spectrometer
(MAIS) 17
Monte Carlo procedures 160,285
multi-angle 12,25,40
Multi-angle ThermalIVisible Imaging
System (AMTIS) 12
multi-camera 11
K
kappa(K) 77,269,275,276
Karush-Kuhn-Tucker (KKT) theorem 142
Kernel Adatron (KA) 153
kernel functions 7,100,102,135,139,147,
148,237,239,240,243,248,250,252-254
kernel matrix 150
kernel trick 135
k-means algorithm 7,69,225,229-232,
235
k-nearest neighbors (k-NN) algorithm
238
Kullback-Leibler distance 90
Kurtosis 111-113,122-124,126,199,221
L
Ll -distance 69, 77
L2 -distance 69
Lagrange multipliers 140-142,145,147,
153
Lagrangian SVM (LSVM) 154,238,241,
245,246,248,252
LANDSAT 12, 13,24,27,39,61,92,96,
181,191-193,195,238,241,257,290
Land-Surface Processes and Interactions
Mission (LSPIM) 24
Laplacian of Gaussian (LoG) 65
leaf area index (LAI) 36, 40
leptokurtic 111, 218
likelihood 34,119,219,265
linear filters 63, 294, 295
linearinterpolation 93,94,96,97,99,189,
192, 194, 196, 197
linear mixture model/modeling (LMM)
75, 125, 126, 129
linear programming (LP) 152-154
linear separating hyperplane 134, 135,
138,139,143,144,146,147,237
linear spectral random mixture analysis
(LSRMA) 218
log-likelihood 222
LOQO 153
low pass filter 295, 299
M
machine learning 5,7,133,134
Mahalanobis distance 151
Index
margin 134, 140, 142, 143, 149, 153, 154,
214,237
marginal distribution 162, 167
marginal entropy 97
marginal probability mass functions 90,
91
Markov Chain 159, 168, 170, 175,276,
297-299
Markov random field (MRF) 4,6, 7, 75,
80,81,159-162,164-167,176,177,
257-259,265,269,270,272,275,276,
279-282,284,286,289,292,294,
306
M-ary hypothesis 261,284,295
maximum a posteriori (MAP) 67,68, 160,
161,167,168,170,172,175-177,261,265,
280,281,284,294,296,306
maximum likelihood classifier (MLC) 72,
74,75,133,134,166,238,270
maximum likelihood estimate (MLE)
261-263,269,270,272,275,298,299
maximum pseudo likelihood estimation
(MPLE) 263,268,290
mean square difference (MSD) 190-192,
194-197
Mercer's theorem 147
Medium Resolution Imaging Spectrometer
(MERIS) 23-27,74
Metropolis algorithm 160,167,173-175,
177,294,297-299,306
Metropolis-Hasting (MH) algorithm 160,
173
millimeter wave (MMW) image 293
minimal mutual information (MMI) 116,
119,120,126,204
MINOS 153
mixed pixel 7,29,31,33,71,74,75,124,
237,239,357-259,293
modified partial least squares (MPLS) 35
Moderate Resolution Imaging
Spectrometer (MODIS) 17,21,23-27,
31,37,74,257
Modular Airborne Imaging Spectrometer
(MAIS) 17
Monte Carlo procedures 160,285
multi-angle 12,25,40
Multi-angle ThermalIVisible Imaging
System (AMTIS) 12
multi-camera 11