A “Tuned” Mask Learnt Approach Based on Gravitational Search Algorithm

Table 8

Result of different algorithms for remote sensing images.

Dataset	Meas.	GA	PSO	AIA	HBMO	GSA
RS1	Avg	34.2731	36.7696	36.7657	37.0125	38.0333
	Std	5.1505	4.2538	4.4363	3.0899	2.2603
	Accuracy (%)	93.9797	95.4275	95.1400	96.0333	97.1932
	Time	0.2779	0.2652	0.2793	0.2915	0.2729
RS2	Avg	46.9603	47.4975	48.3295	48.4530	49.0828
	Std	1.4241	0.9470	0.8591	0.8315	0.4004
	Accuracy (%)	93.4484	94.2963	95.1594	95.5927	96.2379
	Time	0.2770	0.2639	0.2782	0.2897	0.2719
RS3	Avg	5.3701	5.4712	5.5026	5.5160	5.5837
	Std	0.1162	0.0883	0.0702	0.0639	0.0506
	Accuracy (%)	85.1405	87.3292	88.4858	89.1554	90.7826
	Time	0.2763	0.2634	0.2775	0.2865	0.2700
RS4	Avg	6.9304	7.0397	7.0858	7.1006	7.1720
	Std	0.1520	0.1177	0.0960	0.0926	0.0855
	Accuracy (%)	82.4348	83.9884	84.7993	85.2154	86.6071
	Time	0.2768	0.2638	0.2780	0.2893	0.2717
RS5	Avg	4.3903	4.5223	4.7030	4.6988	4.8958
	Std	0.1463	0.1307	0.1274	0.1144	0.0963
	Accuracy (%)	83.1671	85.0394	87.6705	87.1144	89.9387
	Time	0.2762	0.2631	0.2771	0.2861	0.2698