Table 3 Comparison of the two models in terms of precision, recall, and F1 score values; best values in bold.

Model	Class	Precision	Recall	F1-score
1	Building	0.93	0.96	0.95
2	Building	0.95	0.96	0.95
1	Car	0.96	0.98	0.97
2	Car	0.98	0.96	0.97
1	Debris	0.96	0.94	0.95
2	Debris	0.97	0.92	0.94
1	Ftpath	0.95	0.93	0.94
2	Ftpath	0.94	0.95	0.94
1	Mroad	0.96	0.97	0.97
2	Mroad	0.93	0.98	0.95
1	Ofield	0.96	0.94	0.95
2	Ofield	0.97	0.92	0.94
1	Roof	0.96	0.98	0.97
2	Roof	0.98	0.98	0.98
1	Shadow	0.95	0.94	0.95
2	Shadow	0.95	0.92	0.94
1	Tank	0.98	0.98	0.98
2	Tank	0.95	0.98	0.97
1	Tree	0.96	0.96	0.96
2	Tree	0.94	0.99	0.96

*Model No. 1 and 2 indicate the first hybrid model and the second hybrid model, respectively
Significant values are in bold

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