HE-DFNETS: A Novel Hybrid Deep Learning Architecture for the Prediction of Potential Fishing Zone Areas in Indian Ocean Using Remote Sensing Images

Table 2

Parameters of CNN (Tier-1) used for segmentation and feature extraction OF SST maps and SSC maps.

Sl. no.	Layers used	Output size	Parameters
1	Convolution layer (CL-1)	256 × 256 × 32	564
2	Pooling layer (PL-1)	128 × 128 × 32	2
3	Convolution layer (CL-2)	128 × 128 × 64	2784
4	Pooling layer (PL-2)	64 × 64 × 128	0
5	Convolution layer (CL-3)	64 × 64 × 128	9673
6	Pooling layer (PL-3)	32 × 32 × 256	0
7	Convolution layer (CL-4)	32 × 32 × 128	167653
8	Pooling layer (PL-5)	16 × 16 × 256	0
9	Convolution layer (CL-4)	16 × 16 × 256	208960
10	Pooling layer (PL-5)	4 × 4 × 512	0