Rotation Invariance Regularization for Remote Sensing Image Scene Classification with Convolutional Neural Networks

Rotation Invariance Regularization for Remote Sensing Image Scene Classification with Convolutional Neural Networks

Deep convolutional neural networks (DCNNs) have shown significant improvements in remote sensing image scene classification for powerful feature representations. However, because of the high variance and volume limitations of the available remote sensing datasets, DCNNs are prone to overfit the data...

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Bibliographic Details
Main Authors: Kunlun Qi, Chao Yang, Chuli Hu, Yonglin Shen, Shengyu Shen, Huayi Wu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
convolutional neural network
scene classification
rotation invariance
Online Access:https://www.mdpi.com/2072-4292/13/4/569

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