From: Spatial and temporal point tracking in real hyperspectral images
Parameter | Value |
---|---|
Hyperspectral movie parameters | |
Movie length | 95 frames |
Spectral signatures | Identical to the ones presented in Varsano et al. [13], Figure 13 |
Block size | 30 × 30 pixels |
Number of spectral bands | 100 bands |
IR source sequence | NA23, taken from Silverman et al. [23] |
Noise added | White Gaussian noise factor of 0.05 (std = noise factor * 0.05) |
Synthetic target properties | |
Spatial shape | Half sine, 2 × 2 pixels, integral of the spatial distribution normalized to 0.5 |
Horizontal velocity | 1/8 pixels/frame |
Vertical velocity | 1/8 pixels/frame |
Velocity error | Noise factor of 0.25, as described in Varsano et al. [13], section 6.3 |
Hyperspectral cube reduction | |
Reduction filter | Match filter, selected according to best performance |
Target block | 37 (weak clutter), 38 (sky only), 39 (strong clutter) |
Target factor | 10, 20, 40, 60, 80, 100, 500, 1000 |
Temporal processing parameters | |
Sub profile length | 15 samples |
Overlap | 10 samples |
DC window | 50 samples |
DC step size | 15 samples |
Variance window | 4 samples |
DPA | |
EMC (b) | [0...6] for g = 0, [0...1] for g = 1 |
a | 1 |
p | 0.5 |
y | 24 |