Table 3.

Classification results for PCE full (optical) 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	366	1	0	2	1	0	4	98%	BMP2	0	0	0	0	3	0	0	0%
BRDM2	0	210	0	4	1	152	0	57%	BRDM2	0	56	0	0	0	107	1	34%
BTR70	0	0	373	0	0	1	0	100%	BTR70	24	0	86	1	6	0	32	58%
SUV	0	0	0	189	0	185	0	51%	SUV	0	0	23	78	48	18	4	46%
T72	0	15	0	38	310	11	0	83%	T72	0	0	0	0	160	3	0	98%
Truck	10	6	0	38	0	315	0	85%	Truck	1	0	4	0	19	5	0	17%
ZSU23-4	0	0	0	10	0	0	359	97%	ZSU23-4	0	0	0	0	100	0	205	67%
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	363	0	0	11	0	0	0	97%	BMP2	0	0	139	1	149	0	0	0%
BRDM2	0	234	0	76	0	64	0	63%	BRDM2	14	113	13	17	2	209	6	30%
BTR70	0	0	374	0	0	0	0	100%	BTR70	47	0	260	0	58	0	9	70%
SUV	0	0	0	201	0	173	0	54%	SUV	1	0	264	1	8	0	0	0%
T72	0	4	1	0	369	0	0	99%	T72	0	0	84	7	211	19	0	66%
Truck	3	10	0	0	0	361	0	97%	Truck	38	0	47	0	153	131	5	35%
ZSU23-4	0	0	0	0	0	0	374	100%	ZSU23-4	5	0	27	8	268	0	66	18%
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	355	0	0	17	0	2	0	95%	BMP2	0	0	0	0	0	0	0	0%
BRDM2	0	40	9	170	0	155	0	11%	BRDM2	20	4	28	1	6	28	0	5%
BTR70	2	0	355	15	0	2	0	95%	BTR70	0	0	70	0	6	0	0	92%
SUV	1	0	2	97	0	258	8	27%	SUV	4	0	27	1	2	6	0	3%
T72	4	26	1	194	89	62	1	24%	T72	0	0	2	0	9	9	0	45%
Truck	17	56	4	2	1	285	1	78%	Truck	2	0	18	0	2	31	0	58%
ZSU23-4	0	1	41	14	2	28	287	77%	ZSU23-4	0	0	5	0	102	4	0	0%