[Retracted] An Efficient Multispectral Image Classification and Optimization Using Remote Sensing Data

Table 2

Comparison between parameters existing techniques with the accuracy level.

Classification techniques used	Data set used	Software used	Accuracy assessment	Overall accuracy	Reference
Maximum likelihood technique	Landsat 8 satellite image	ERDAS imagine	Kappa statistic	82.5%	N. A. Mahmon, et al., 2015
RNN	LISS IV image	MAT lab	Kappa coefficient	87.69%	T. Vignesh, et al., 2021
SVM (support vector machines) and CNN	Google earth Landsat-8	MATLAB R2017a	Overall accuracy	70.89%	M. Kim et al.2018
				73.79%
CNN	South Korea region – Google earth	MATLAB R2017a	Overall accuracy	95.7%	M. Kim et al.2018
VGG16 with Adam	Google earth and Bing maps	Python	Average accuracy	78.72	W. Teng et al., [26]
Proposed inception v3 with Adam	LISS IV	Python	Accuracy