Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

Despite recent advances of deep Convolutional Neural Networks (CNNs) in various computer vision tasks, their potential for classification of multispectral remote sensing images has not been thoroughly explored. In particular, the applications of deep CNNs using optical remote sensing data have focus...

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Bibliographic Details
Main Authors: Masoud Mahdianpari, Bahram Salehi, Mohammad Rezaee, Fariba Mohammadimanesh, Yun Zhang
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Remote Sensing
Subjects:
deep learning
Convolutional Neural Network
machine learning
multispectral images
land cover classification
wetland
RapidEye
full-training
fine-tuning
Online Access:http://www.mdpi.com/2072-4292/10/7/1119

Internet

http://www.mdpi.com/2072-4292/10/7/1119

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