Deep Learning Model for the Image Fusion and Accurate Classification of Remote Sensing Images

Table 1

Comparative analysis of the proposed method with traditional methods.

Parameters	Decision tree classification method	SVM + KNN based method	Semantic deep learning method	The proposed method
Accuracy	87.44	88.18	93.97	95.83
Overall deficiency	16.72	11.04	08.25	06.31
Kappa value	87.30	89.40	92.84	95.87