Multi-Scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images

Multi-Scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images

Haze removal is a pre-processing step that operates on at-sensor radiance data prior to the physically based image correction step to enhance hazy imagery visually. Most current haze removal methods focus on point-to-point operations and utilize information in the spectral domain, without taking con...

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Bibliographic Details
Main Authors: Hou Jiang, Ning Lu
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Remote Sensing
Subjects:
haze removal
multi-scale context aggregation
residual learning
convolutional neural network
Landsat 8 OLI
Online Access:http://www.mdpi.com/2072-4292/10/6/945

Internet

http://www.mdpi.com/2072-4292/10/6/945

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