Table A12.

Classification results for PCE 25 case (MWIR nighttime). 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	198	14	0	0	45	0	2	76%	BMP2	0	0	0	0	0	0	0	0%
BRDM2	0	357	0	0	2	0	0	99%	BRDM2	0	0	0	0	0	0	0	0%
BTR70	13	196	95	0	53	0	2	26%	BTR70	0	0	0	0	0	0	0	0%
SUV	1	126	0	135	36	61	0	38%	SUV	0	0	0	0	0	0	0	0%
T72	2	57	0	0	288	6	4	81%	T72	0	0	0	0	0	0	0	0%
Truck	1	89	1	0	60	207	1	58%	Truck	0	0	0	0	0	0	0	0%
ZSU23-4	1	66	1	0	38	2	251	70%	ZSU23-4	0	0	0	0	0	0	0	0%
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	59	170	3	0	99	15	12	16%	BMP2	0	0	0	0	0	0	0	0%
BRDM2	0	344	0	0	14	1	0	96%	BRDM2	0	0	0	0	0	0	0	0%
BTR70	0	181	117	0	56	1	4	33%	BTR70	0	0	0	0	0	0	0	0%
SUV	0	88	2	70	84	112	3	19%	SUV	0	0	0	0	0	0	0	0%
T72	0	16	0	0	329	13	1	92%	T72	0	0	0	0	0	0	0	0%
Truck	1	105	7	1	125	115	1	32%	Truck	0	0	0	0	0	0	0	0%
ZSU23-4	0	46	4	0	124	8	176	49%	ZSU23-4	0	0	0	0	0	0	0	0%
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	13	47	0	0	28	6	0	16%	BMP2	0	0	0	0	0	0	0	0%
BRDM2	0	279	2	1	59	2	0	81%	BRDM2	0	0	0	0	0	0	0	0%
BTR70	0	100	49	0	88	5	1	20%	BTR70	0	0	0	0	0	0	0	0%
SUV	0	41	10	12	98	49	0	6%	SUV	0	0	0	0	0	0	0	0%
T72	2	16	0	2	280	38	3	82%	T72	0	0	0	0	0	0	0	0%
Truck	0	13	0	1	50	20	0	24%	Truck	0	0	0	0	0	0	0	0%
ZSU23-4	0	63	11	3	114	32	60	21%	ZSU23-4	0	0	0	0	0	0	0	0%