An Adaptive Injection Model for Pansharpening

Table 2

Average quantitative evaluation of fusion results in simulation experiments.

Methods	QuickBird dataset						IKONOS dataset
	CC	UIQI	RASE	RMSE	SAM	ERGAS	CC	UIQI	RASE	RMSE	SAM	ERGAS
AWLP	0.9015	0.8567	21.3640	14.3177	3.7094	5.2526	0.9165	0.8934	20.9276	20.5598	4.0982	4.5009
BFLP	0.8964	0.8189	29.2416	18.9560	3.8910	6.9647	0.9137	0.8983	19.5769	20.1413	4.0510	4.8381
CBD	0.8943	0.8491	21.7795	14.8396	4.2800	5.5706	0.9177	0.8944	21.3869	22.0035	3.7171	5.8970
MTF-GLP	0.8959	0.8448	22.5773	15.4283	3.3850	5.6583	0.9188	0.9001	19.2471	19.8020	3.2134	4.8311
MF	0.9057	0.8643	18.2789	12.4872	3.8328	4.6707	0.9142	0.9002	17.3611	17.8616	4.1449	4.3381
ASIMP	0.9084	0.8627	19.9071	13.2617	3.8361	5.0637	0.9300	0.9043	16.8757	17.3623	3.5643	4.2421
LRFF	0.9078	0.8635	19.0474	13.0131	3.5951	4.9042	0.9266	0.9045	16.3265	17.5784	3.6155	4.2052
Proposed	0.9125	0.8725	18.2357	12.3240	3.2945	4.6290	0.9315	0.9091	15.6355	16.0863	3.1610	3.9250

The bold values indicate that they are optimal.