Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

Learning efficient image representations is at the core of the scene classification task of remote sensing imagery. The existing methods for solving the scene classification task, based on either feature coding approaches with low-level hand-engineered features or unsupervised feature learning, can...

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Bibliographic Details
Main Authors: Fan Hu, Gui-Song Xia, Jingwen Hu, Liangpei Zhang
Format: Article
Language:English
Published: MDPI AG 2015-11-01
Series:Remote Sensing
Subjects:
CNN
scene classification
feature representation
feature coding
convolutional layer
fully-connected layer
Online Access:http://www.mdpi.com/2072-4292/7/11/14680

Internet

http://www.mdpi.com/2072-4292/7/11/14680

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