Diferencia entre revisiones de «GIC-source-code-free-libre»

De Grupo de Inteligencia Computacional (GIC)
Línea 540: Línea 540:
| 1
| 1
| 5
| 5
| 10
|
|
|
|
|
|}
==== Spheric Gaussian Fields Collection ====
{| align="center" border="1" cellpadding="10"
! colspan="3"|Parameters
! colspan="5"|Signal-to-Noise Ratio (SNR)
|-
! ne
! size
! theta1
! Without noise
! 20db
! 40db
! 60db
! 80db
|- align="center"
| 2
| 64
| 100
|
|
|
|
|
|- align="center"
| 2
| 64
| 50
|
|
|
|
|
|- align="center"
| 2
| 64
| 10
|
|
|
|
|
|- align="center"
| 2
| 128
| 100
|
|
|
|
|
|- align="center"
| 2
| 128
| 50
|
|
|
|
|
|- align="center"
| 2
| 128
| 10
|
|
|
|
|
|- align="center"
| 2
| 256
| 100
|
|
|
|
|
|- align="center"
| 2
| 256
| 50
|
|
|
|
|
|- align="center"
| 2
| 256
| 10
|
|
|
|
|
|- align="center"
| 3
| 64
| 100
|
|
|
|
|
|- align="center"
| 3
| 64
| 50
|
|
|
|
|
|- align="center"
| 3
| 64
| 10
|
|
|
|
|
|- align="center"
| 3
| 128
| 100
|
|
|
|
|
|- align="center"
| 3
| 128
| 50
|
|
|
|
|
|- align="center"
| 3
| 128
| 10
|
|
|
|
|
|- align="center"
| 3
| 256
| 100
|
|
|
|
|
|- align="center"
| 3
| 256
| 50
|
|
|
|
|
|- align="center"
| 3
| 256
| 10
|
|
|
|
|
|- align="center"
| 4
| 64
| 100
|
|
|
|
|
|- align="center"
| 4
| 64
| 50
|
|
|
|
|
|- align="center"
| 4
| 64
| 10
|
|
|
|
|
|- align="center"
| 4
| 128
| 100
|
|
|
|
|
|- align="center"
| 4
| 128
| 50
|
|
|
|
|
|- align="center"
| 4
| 128
| 10
|
|
|
|
|
|- align="center"
| 4
| 256
| 100
|
|
|
|
|
|- align="center"
| 4
| 256
| 50
|
|
|
|
|
|- align="center"
| 4
| 256
| 10
|
|
|
|
|
|- align="center"
| 5
| 64
| 100
|
|
|
|
|
|- align="center"
| 5
| 64
| 50
|
|
|
|
|
|- align="center"
| 5
| 64
| 10
|
|
|
|
|
|- align="center"
| 5
| 128
| 100
|
|
|
|
|
|- align="center"
| 5
| 128
| 50
|
|
|
|
|
|- align="center"
| 5
| 128
| 10
|
|
|
|
|
|- align="center"
| 5
| 256
| 100
|
|
|
|
|
|- align="center"
| 5
| 256
| 50
|
|
|
|
|
|- align="center"
| 5
| 256
| 10
| 10
|
|

Revisión del 14:33 25 jun 2008

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
2 64 1 5 100
2 64 1 10 10
2 64 1 5 10
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