Concentric Circle Pooling in Deep Convolutional Networks for Remote Sensing Scene Classification

Concentric Circle Pooling in Deep Convolutional Networks for Remote Sensing Scene Classification

Convolutional neural networks (CNNs) have been increasingly used in remote sensing scene classification/recognition. The conventional CNNs are sensitive to the rotation of the image scene, which will inevitably result in the misclassification of remote sensing scene images that belong to the same ca...

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Bibliographic Details
Main Authors: Kunlun Qi, Qingfeng Guan, Chao Yang, Feifei Peng, Shengyu Shen, Huayi Wu
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Remote Sensing
Subjects:
convolutional neural network
concentric circle pooling
rotation invariant
Online Access:http://www.mdpi.com/2072-4292/10/6/934

Internet

http://www.mdpi.com/2072-4292/10/6/934

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