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. 2019 Aug 26;19(17):3702. doi: 10.3390/s19173702

Table A8.

Classification results for PCE 25 (MWIR daytime) case. Left shows the confusion matrix and the last column shows the classification accuracy.

1000 m 2500 m
Vehicles BMP2 BRDM2 BTR70 SUV T72 Truck ZSU23-4 Accuracy Vehicles BMP2 BRDM2 BTR70 SUV T72 Truck ZSU23-4 Accuracy
BMP2 0 3 2 3 4 4 0 0% BMP2 1 1 1 1 4 1 2 9%
BRDM2 6 89 1 7 1 16 0 74% BRDM2 0 8 0 4 19 5 2 21%
BTR70 6 18 39 15 3 3 0 46% BTR70 6 51 10 10 30 11 5 8%
SUV 1 7 0 41 4 6 0 69% SUV 5 63 7 18 35 13 7 12%
T72 58 47 9 21 51 40 1 22% T72 7 52 14 13 103 12 7 50%
Truck 1 1 1 0 0 12 0 80% Truck 6 18 1 8 25 4 2 6%
ZSU23-4 2 47 2 15 2 103 7 4% ZSU23-4 1 74 5 6 25 11 7 5%
1500 m 3000 m
Vehicles BMP2 BRDM2 BTR70 SUV T72 Truck ZSU23-4 Accuracy Vehicles BMP2 BRDM2 BTR70 SUV T72 Truck ZSU23-4 Accuracy
BMP2 2 21 6 6 25 118 4 1% BMP2 1 0 0 1 0 0 0 50%
BRDM2 1 133 4 14 6 130 0 46% BRDM2 8 9 1 6 16 2 7 18%
BTR70 1 70 25 18 7 125 3 10% BTR70 6 16 3 4 24 4 5 5%
SUV 0 20 0 11 3 28 1 17% SUV 5 8 1 2 11 3 1 6%
T72 6 135 7 20 79 83 1 25% T72 2 4 0 0 51 0 1 89%
Truck 0 8 0 1 3 69 2 83% Truck 5 4 2 2 18 2 3 6%
ZSU23-4 1 115 4 15 9 194 8 2% ZSU23-4 4 17 2 9 25 4 4 6%
2000 m 3500 m
Vehicles BMP2 BRDM2 BTR70 SUV T72 Truck ZSU23-4 Accuracy Vehicles BMP2 BRDM2 BTR70 SUV T72 Truck ZSU23-4 Accuracy
BMP2 0 1 0 1 8 29 1 0% BMP2 0 2 0 1 0 0 0 0%
BRDM2 0 2 0 0 5 6 0 15% BRDM2 4 3 3 3 20 0 2 9%
BTR70 0 0 0 2 0 2 0 0% BTR70 3 1 0 2 41 1 1 0%
SUV 0 0 0 0 0 0 0 0% SUV 6 4 1 3 19 0 8 7%
T72 0 2 0 2 13 5 0 59% T72 0 0 0 2 0 0 0 0%
Truck 0 0 0 0 4 1 0 20% Truck 7 4 1 4 16 2 1 6%
ZSU23-4 0 1 0 2 4 9 0 0% ZSU23-4 10 19 3 10 28 7 3 4%