Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework

Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework

The recent emergence of deep learning for characterizing complex patterns in remote sensing imagery reveals its high potential to address some classic challenges in this domain, e.g. scene classification. Typical deep learning models require extremely large datasets with rich contents to train a mul...

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Bibliographic Details
Main Authors: Xingrui Yu, Xiaomin Wu, Chunbo Luo, Peng Ren
Format: Article
Language:English
Published: Taylor & Francis Group 2017-09-01
Series:GIScience & Remote Sensing
Subjects:
deep learning
remote sensing scene classification
convolutional neural network (cnn)
big data
data augmentation
Online Access:http://dx.doi.org/10.1080/15481603.2017.1323377

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http://dx.doi.org/10.1080/15481603.2017.1323377

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