GIC-source-code-free-libre
De Grupo de Inteligencia Computacional (GIC)
Hyperspectral Imagery Synthesis tools for MATLAB
IC Synthetic Hyperspectral Collection
Legendre Collection
Parameters
|
Signal-to-Noise Ratio (SNR)
|
ne
|
size
|
min
|
max
|
Coef
|
Without noise
|
20db
|
40db
|
60db
|
80db
|
2
|
64
|
1
|
10
|
100
|
download
|
download
|
download
|
download
|
download
|
2
|
64
|
1
|
5
|
100
|
download
|
download
|
download
|
download
|
download
|
2
|
64
|
1
|
10
|
10
|
download
|
download
|
download
|
download
|
download
|
2
|
64
|
1
|
5
|
10
|
download
|
download
|
download
|
download
|
download
|
2
|
128
|
1
|
10
|
100
|
|
|
|
|
|
2
|
128
|
1
|
5
|
100
|
|
|
|
|
|
2
|
128
|
1
|
10
|
10
|
|
|
|
|
|
2
|
128
|
1
|
5
|
10
|
|
|
|
|
|
2
|
256
|
1
|
10
|
100
|
|
|
|
|
|
2
|
256
|
1
|
5
|
100
|
|
|
|
|
|
2
|
256
|
1
|
10
|
10
|
|
|
|
|
|
2
|
256
|
1
|
5
|
10
|
|
|
|
|
|
3
|
64
|
1
|
10
|
100
|
|
|
|
|
|
3
|
64
|
1
|
5
|
100
|
|
|
|
|
|
3
|
64
|
1
|
10
|
10
|
|
|
|
|
|
3
|
64
|
1
|
5
|
10
|
|
|
|
|
|
3
|
128
|
1
|
10
|
100
|
|
|
|
|
|
3
|
128
|
1
|
5
|
100
|
|
|
|
|
|
3
|
128
|
1
|
10
|
10
|
|
|
|
|
|
3
|
128
|
1
|
5
|
10
|
|
|
|
|
|
3
|
256
|
1
|
10
|
100
|
|
|
|
|
|
3
|
256
|
1
|
5
|
100
|
|
|
|
|
|
3
|
256
|
1
|
10
|
10
|
|
|
|
|
|
3
|
256
|
1
|
5
|
10
|
|
|
|
|
|
4
|
64
|
1
|
10
|
100
|
|
|
|
|
|
4
|
64
|
1
|
5
|
100
|
|
|
|
|
|
4
|
64
|
1
|
10
|
10
|
|
|
|
|
|
4
|
64
|
1
|
5
|
10
|
|
|
|
|
|
4
|
128
|
1
|
10
|
100
|
|
|
|
|
|
4
|
128
|
1
|
5
|
100
|
|
|
|
|
|
4
|
128
|
1
|
10
|
10
|
|
|
|
|
|
4
|
128
|
1
|
5
|
10
|
|
|
|
|
|
4
|
256
|
1
|
10
|
100
|
|
|
|
|
|
4
|
256
|
1
|
5
|
100
|
|
|
|
|
|
4
|
256
|
1
|
10
|
10
|
|
|
|
|
|
4
|
256
|
1
|
5
|
10
|
|
|
|
|
|
5
|
64
|
1
|
10
|
100
|
|
|
|
|
|
5
|
64
|
1
|
5
|
100
|
|
|
|
|
|
5
|
64
|
1
|
10
|
10
|
|
|
|
|
|
5
|
64
|
1
|
5
|
10
|
|
|
|
|
|
5
|
128
|
1
|
10
|
100
|
|
|
|
|
|
5
|
128
|
1
|
5
|
100
|
|
|
|
|
|
5
|
128
|
1
|
10
|
10
|
|
|
|
|
|
5
|
128
|
1
|
5
|
10
|
|
|
|
|
|
5
|
256
|
1
|
10
|
100
|
|
|
|
|
|
5
|
256
|
1
|
5
|
100
|
|
|
|
|
|
5
|
256
|
1
|
10
|
10
|
|
|
|
|
|
5
|
256
|
1
|
5
|
10
|
|
|
|
|
|
Spheric Gaussian Fields Collection
Parameters
|
Signal-to-Noise Ratio (SNR)
|
ne
|
size
|
theta1
|
Without noise
|
20db
|
40db
|
60db
|
80db
|
2
|
64
|
100
|
|
|
|
|
|
2
|
64
|
50
|
|
|
|
|
|
2
|
64
|
10
|
|
|
|
|
|
2
|
128
|
100
|
|
|
|
|
|
2
|
128
|
50
|
|
|
|
|
|
2
|
128
|
10
|
|
|
|
|
|
2
|
256
|
100
|
|
|
|
|
|
2
|
256
|
50
|
|
|
|
|
|
2
|
256
|
10
|
|
|
|
|
|
3
|
64
|
100
|
|
|
|
|
|
3
|
64
|
50
|
|
|
|
|
|
3
|
64
|
10
|
|
|
|
|
|
3
|
128
|
100
|
|
|
|
|
|
3
|
128
|
50
|
|
|
|
|
|
3
|
128
|
10
|
|
|
|
|
|
3
|
256
|
100
|
|
|
|
|
|
3
|
256
|
50
|
|
|
|
|
|
3
|
256
|
10
|
|
|
|
|
|
4
|
64
|
100
|
|
|
|
|
|
4
|
64
|
50
|
|
|
|
|
|
4
|
64
|
10
|
|
|
|
|
|
4
|
128
|
100
|
|
|
|
|
|
4
|
128
|
50
|
|
|
|
|
|
4
|
128
|
10
|
|
|
|
|
|
4
|
256
|
100
|
|
|
|
|
|
4
|
256
|
50
|
|
|
|
|
|
4
|
256
|
10
|
|
|
|
|
|
5
|
64
|
100
|
|
|
|
|
|
5
|
64
|
50
|
|
|
|
|
|
5
|
64
|
10
|
|
|
|
|
|
5
|
128
|
100
|
|
|
|
|
|
5
|
128
|
50
|
|
|
|
|
|
5
|
128
|
10
|
|
|
|
|
|
5
|
256
|
100
|
|
|
|
|
|
5
|
256
|
50
|
|
|
|
|
|
5
|
256
|
10
|
|
|
|
|
|
Exponential Gausian Fields Collection
Parameters
|
Signal-to-Noise Ratio (SNR)
|
ne
|
size
|
theta1
|
theta2
|
Without noise
|
20db
|
40db
|
60db
|
80db
|
2
|
64
|
0.7
|
1.3
|
download
|
download
|
download
|
download
|
download
|
2
|
64
|
0.5
|
0.8
|
download
|
download
|
download
|
download
|
download
|
2
|
64
|
0.9
|
1.9
|
download
|
download
|
download
|
download
|
download
|
2
|
128
|
0.7
|
1.3
|
|
|
|
|
|
2
|
128
|
0.5
|
0.8
|
|
|
|
|
|
2
|
128
|
0.9
|
1.9
|
|
|
|
|
|
2
|
256
|
0.7
|
1.3
|
|
|
|
|
|
2
|
256
|
0.5
|
0.8
|
|
|
|
|
|
2
|
256
|
0.9
|
1.9
|
|
|
|
|
|
3
|
64
|
0.7
|
1.3
|
|
|
|
|
|
3
|
64
|
0.5
|
0.8
|
|
|
|
|
|
3
|
64
|
0.9
|
1.9
|
|
|
|
|
|
3
|
128
|
0.7
|
1.3
|
|
|
|
|
|
3
|
128
|
0.5
|
0.8
|
|
|
|
|
|
3
|
128
|
0.9
|
1.9
|
|
|
|
|
|
3
|
256
|
0.7
|
1.3
|
|
|
|
|
|
3
|
256
|
0.5
|
0.8
|
|
|
|
|
|
3
|
256
|
0.9
|
1.9
|
|
|
|
|
|
4
|
64
|
0.7
|
1.3
|
|
|
|
|
|
4
|
64
|
0.5
|
0.8
|
|
|
|
|
|
4
|
64
|
0.9
|
1.9
|
|
|
|
|
|
4
|
128
|
0.7
|
1.3
|
|
|
|
|
|
4
|
128
|
0.5
|
0.8
|
|
|
|
|
|
4
|
128
|
0.9
|
1.9
|
|
|
|
|
|
4
|
256
|
0.7
|
1.3
|
|
|
|
|
|
4
|
256
|
0.5
|
0.8
|
|
|
|
|
|
4
|
256
|
0.9
|
1.9
|
|
|
|
|
|
5
|
64
|
0.7
|
1.3
|
|
|
|
|
|
5
|
64
|
0.5
|
0.8
|
|
|
|
|
|
5
|
64
|
0.9
|
1.9
|
|
|
|
|
|
5
|
128
|
0.7
|
1.3
|
|
|
|
|
|
5
|
128
|
0.5
|
0.8
|
|
|
|
|
|
5
|
128
|
0.9
|
1.9
|
|
|
|
|
|
5
|
256
|
0.7
|
1.3
|
|
|
|
|
|
5
|
256
|
0.5
|
0.8
|
|
|
|
|
|
5
|
256
|
0.9
|
1.9
|
|
|
|
|
|
Rational Gausian Fields Collection
Parameters
|
Signal-to-Noise Ratio (SNR)
|
ne
|
size
|
theta1
|
theta2
|
Without noise
|
20db
|
40db
|
60db
|
80db
|
2
|
64
|
1.6
|
1.5
|
|
|
|
|
|
2
|
64
|
1.2
|
0.85
|
|
|
|
|
|
2
|
64
|
1.85
|
2
|
|
|
|
|
|
2
|
128
|
1.6
|
1.5
|
|
|
|
|
|
2
|
128
|
1.2
|
0.85
|
|
|
|
|
|
2
|
128
|
1.85
|
2
|
|
|
|
|
|
2
|
256
|
1.6
|
1.5
|
|
|
|
|
|
2
|
256
|
1.2
|
0.85
|
|
|
|
|
|
2
|
256
|
1.85
|
2
|
|
|
|
|
|
3
|
64
|
1.6
|
1.5
|
|
|
|
|
|
3
|
64
|
1.2
|
0.85
|
|
|
|
|
|
3
|
64
|
1.85
|
2
|
|
|
|
|
|
3
|
128
|
1.6
|
1.5
|
|
|
|
|
|
3
|
128
|
1.2
|
0.85
|
|
|
|
|
|
3
|
128
|
1.85
|
2
|
|
|
|
|
|
3
|
256
|
1.6
|
1.5
|
|
|
|
|
|
3
|
256
|
1.2
|
0.85
|
|
|
|
|
|
3
|
256
|
1.85
|
2
|
|
|
|
|
|
4
|
64
|
1.6
|
1.5
|
|
|
|
|
|
4
|
64
|
1.2
|
0.85
|
|
|
|
|
|
4
|
64
|
1.85
|
2
|
|
|
|
|
|
4
|
128
|
1.6
|
1.5
|
|
|
|
|
|
4
|
128
|
1.2
|
0.85
|
|
|
|
|
|
4
|
128
|
1.85
|
2
|
|
|
|
|
|
4
|
256
|
1.6
|
1.5
|
|
|
|
|
|
4
|
256
|
1.2
|
0.85
|
|
|
|
|
|
4
|
256
|
1.85
|
2
|
|
|
|
|
|
5
|
64
|
1.6
|
1.5
|
|
|
|
|
|
5
|
64
|
1.2
|
0.85
|
|
|
|
|
|
5
|
64
|
1.85
|
2
|
|
|
|
|
|
5
|
128
|
1.6
|
1.5
|
|
|
|
|
|
5
|
128
|
1.2
|
0.85
|
|
|
|
|
|
5
|
128
|
1.85
|
2
|
|
|
|
|
|
5
|
256
|
1.6
|
1.5
|
|
|
|
|
|
5
|
256
|
1.2
|
0.85
|
|
|
|
|
|
5
|
256
|
1.85
|
2
|
|
|
|
|
|
Matern Gausian Fields Collection
Parameters
|
Signal-to-Noise Ratio (SNR)
|
ne
|
size
|
theta1
|
theta2
|
Without noise
|
20db
|
40db
|
60db
|
80db
|
2
|
64
|
10
|
1
|
download
|
download
|
download
|
download
|
download
|
2
|
64
|
5
|
0.5
|
download
|
download
|
download
|
download
|
download
|
2
|
64
|
20
|
2
|
download
|
download
|
download
|
download
|
download
|
2
|
128
|
10
|
1
|
|
|
|
|
|
2
|
128
|
5
|
0.5
|
|
|
|
|
|
2
|
128
|
20
|
2
|
|
|
|
|
|
2
|
256
|
10
|
1
|
|
|
|
|
|
2
|
256
|
5
|
0.5
|
|
|
|
|
|
2
|
256
|
20
|
2
|
|
|
|
|
|
3
|
64
|
10
|
1
|
|
|
|
|
|
3
|
64
|
5
|
0.5
|
|
|
|
|
|
3
|
64
|
20
|
2
|
|
|
|
|
|
3
|
128
|
10
|
1
|
|
|
|
|
|
3
|
128
|
5
|
0.5
|
|
|
|
|
|
3
|
128
|
20
|
2
|
|
|
|
|
|
3
|
256
|
10
|
1
|
|
|
|
|
|
3
|
256
|
5
|
0.5
|
|
|
|
|
|
3
|
256
|
20
|
2
|
|
|
|
|
|
4
|
64
|
10
|
1
|
|
|
|
|
|
4
|
64
|
5
|
0.5
|
|
|
|
|
|
4
|
64
|
20
|
2
|
|
|
|
|
|
4
|
128
|
10
|
1
|
|
|
|
|
|
4
|
128
|
5
|
0.5
|
|
|
|
|
|
4
|
128
|
20
|
2
|
|
|
|
|
|
4
|
256
|
10
|
1
|
|
|
|
|
|
4
|
256
|
5
|
0.5
|
|
|
|
|
|
4
|
256
|
20
|
2
|
|
|
|
|
|
5
|
64
|
10
|
1
|
|
|
|
|
|
5
|
64
|
5
|
0.5
|
|
|
|
|
|
5
|
64
|
20
|
2
|
|
|
|
|
|
5
|
128
|
10
|
1
|
|
|
|
|
|
5
|
128
|
5
|
0.5
|
|
|
|
|
|
5
|
128
|
20
|
2
|
|
|
|
|
|
5
|
256
|
10
|
1
|
|
|
|
|
|
5
|
256
|
5
|
0.5
|
|
|
|
|
|
5
|
256
|
20
|
2
|
|
|
|
|
|