Table 9.

Classification results for PCE full 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	184	0	0	0	1	0	0	99%	BMP2	162	35	0	0	81	6	60	47%
BRDM2	0	274	0	0	0	3	0	99%	BRDM2	5	288	0	1	25	39	1	80%
BTR70	24	21	234	0	6	39	0	72%	BTR70	0	40	130	5	28	139	16	36%
SUV	0	0	0	347	0	9	0	97%	SUV	2	7	6	263	27	50	4	73%
T72	0	0	1	1	224	5	2	96%	T72	12	1	0	4	305	31	5	85%
Truck	3	0	0	1	7	271	0	96%	Truck	46	10	9	7	28	221	3	68%
ZSU23-4	0	1	0	2	0	1	283	99%	ZSU23-4	2	21	4	2	11	9	274	85%
1500 m									3000 m
Vehicles	BMP2	BRDM2	BTR70	SUV	T72	Truck	ZSU23-4	Accuracy		BMP2	BRDM2	BTR70	SUV	T72	Truck	ZSU23-4	Accuracy
BMP2	341	10	2	0	3	3	0	95%	BMP2	202	54	1	0	93	1	8	56%
BRDM2	0	329	0	0	10	0	0	97%	BRDM2	9	271	2	7	26	33	8	76%
BTR70	0	1	347	0	0	0	0	100%	BTR70	0	31	233	9	7	1	78	65%
SUV	0	1	0	277	5	59	5	80%	SUV	3	0	0	316	6	0	0	97%
T72	3	0	0	0	352	3	0	98%	T72	40	17	8	4	249	34	7	69%
Truck	3	1	4	1	26	312	1	90%	Truck	2	12	0	14	25	302	2	85%
ZSU23-4	0	3	1	1	3	2	301	97%	ZSU23-4	7	10	0	1	7	2	332	92%
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	10	0	0	205	8	1	5%	BMP2	17	8	0	0	4	9	2	43%
BRDM2	0	207	0	0	23	4	0	88%	BRDM2	1	146	2	1	24	15	5	75%
BTR70	0	12	176	0	10	0	0	89%	BTR70	2	12	79	10	1	37	76	36%
SUV	1	0	6	208	13	72	0	69%	SUV	19	0	1	119	19	4	20	65%
T72	28	0	0	0	296	9	1	89%	T72	35	57	5	25	142	20	26	46%
Truck	0	2	1	0	15	69	1	78%	Truck	7	27	1	44	38	114	0	49%
ZSU23-4	3	5	7	4	65	31	165	59%	ZSU23-4	2	5	5	3	34	1	296	86%