Aerial-Image Denoising Based on Convolutional Neural Network with Multi-Scale Residual Learning Approach

Aerial-Image Denoising Based on Convolutional Neural Network with Multi-Scale Residual Learning Approach

Aerial images are subject to various types of noise, which restricts the recognition and analysis of images, target monitoring, and search services. At present, deep learning is successful in image recognition. However, traditional convolutional neural networks (CNNs) extract the main features of an...

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Bibliographic Details
Main Authors: Chong Chen, Zengbo Xu
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Information
Subjects:
CNNs
multi-scale residual learning
aerial imaging
image denoising
dropout
Online Access:http://www.mdpi.com/2078-2489/9/7/169

Internet

http://www.mdpi.com/2078-2489/9/7/169

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