Fuzzy Cognitive Maps with Bird Swarm Intelligence Optimization-Based Remote Sensing Image Classification

Table 2

Comparative analysis of the FCMBS-RSIC technique with existing approaches under the AID dataset.

Methods	Training/testing (80 : 20)			Training/testing (50 : 50)
	Precision	Recall	Accuracy	Precision	Recall	Accuracy
D-CNN	89.81	91.10	90.82	95.78	97.77	96.89
SC-CNN	89.15	91.48	91.10	92.12	94.41	93.30
VGG-VD16-SAFF	89.18	90.49	90.25	92.51	95.46	93.83
Gated BD-GF	90.43	92.78	92.20	94.18	96.85	95.48
VGG16-MSCP	90.36	92.00	91.52	93.11	95.24	94.42
LWCNN model	92.51	94.18	93.85	96.22	98.75	97.64
FCMBS-RSIC	98.36	99.42	99.31	97.86	99.12	99.06