Table 4.

Multi Sensor image fusion techniques reported in literature

Authors	Neural networks classifications				Wavelet based classifications						Contourlet based classifications		Other classifications
	NN	ANN	PNN	PCNN	WT	DWT	SWT	DCT	DT-CWT	SI-DWT	CT	NSCT	PCA	IHS	Entropy	Fuzzy	HVS	RVS	HPF	SVR
Paramanandham [48]						p	p	p	p		p	p	p		p
Ehlers [49]													p	p			p
Yoonsuk Choi [50]					p						p	p	p	p
Ross [51]																p	p
Li [52]				p
Egfin Nirmala [53]									p			p				p
Pohl [54]		p			p								p	p			p	p
Uttam Kumar [55]													p	p					p
Meti [56]		p	p		p											p
Makode [57]					p	p		p					p	p
Chang [58]	p												p	p					p
Jiang [15]		p			p								p	p						p
Hall [59]	p															p
Satish Kumar [60]						p
Pawar [61]		p							p				p	p		p			p
Lemeshewsky [62]	p					p				p				p
Dengi [63]					p			p
Li [64]					p
Zheng [65]				p
Li [66]				p		p					p	p

Here p represents the literature review on different fields in various categorizations by different authors

NN, Neural network, DWT, Discrete wavelet transform, DCT, Discrete cosine transform, PNN, Pulse-coupled neural network, WT, Wavelet transform, SWT, Stationary wavelet transform, ANN, Artificial neural network,, SI-DWT, Shift invariant discrete wavelet transform, PCNN, Pulse-coupled neural network, PCA, Principal component analysis, NSCT, Non-subsampled contourlet transform, CT, Contourlet transform, HIS, Hue intensity saturation, DT-CWT, Dual-tree complex wavelet transform, HVS, Hue value saturation, RVS, Regression variable substitution. HPF, High pass filter, SVR, Synthetic variable ratio