Dehazing for Multispectral Remote Sensing Images Based on a Convolutional Neural Network With the Residual Architecture

Volume: 11, Issue: 5, Pages: 1645 - 1655
Published: May 1, 2018
Abstract
Multispectral remote sensing images are often contaminated by haze, which causes low image quality. In this paper, a novel dehazing method based on a deep convolutional neural network (CNN) with the residual structure is proposed for multispectral remote sensing images. First, multiple CNN individuals with the residual structure are connected in parallel and each individual is used to learn a regression from the hazy image to the clear image....
Paper Details
Title
Dehazing for Multispectral Remote Sensing Images Based on a Convolutional Neural Network With the Residual Architecture
Published Date
May 1, 2018
Volume
11
Issue
5
Pages
1645 - 1655
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