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Advances, Systems and Applications

Table 1 List of notations and symbols used in the paper and images

From: DU-Net-Cloud: a smart cloud-edge application with an attention mechanism and U-Net for remote sensing images and processing

Parameters

Description

r

reduction rate

F

Feature graph

N

Amount of channels

W0, W1

Layers of the MLP

Mc

Sigmoid function

V

Convolution kernel

U

Output vector of the convolution kernel

*

Convolution operation

S

Nonlinear interactions amongst the channels

Zc

Compressed feature graph

conv

Convolution layer

An activation function for convolution

Attention network

Sigmoid function