Table 7. Comparison with existing research in-terms of classification accuracy for RSSCN7 image dataset.

Algorithms	Accuracy
VGG16 [57]	87.18±0.94
CaffeNet [57]	88.25±0.62
Deep Filter Banks [58]	90.4±0.6
Anwer et al. [59]	94
Zeng [42]	95.59% ± 0.49
HGSIR	98.89%