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Journals >Journal of Infrared and Millimeter Waves >Volume 40 >Issue 4 >Page 530 > Article

Journal of Infrared and Millimeter Waves
Vol. 40, Issue 4, 530 (2021)

Remote sensing image scene classification based on multilayer feature context encoding network

Ruo-Yao LI^1、2, Bo ZHANG^1、2, and Bin WANG^1、2、*

Author Affiliations

¹Key Laboratory for Information Science of Electromagnetic Waves （MoE）， Fudan University， Shanghai 200433， China

²Research Center of Smart Networks and Systems， School of Information Science and Technology， Fudan University， Shanghai 200433， China

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DOI: 10.11972/j.issn.1001-9014.2021.04.012 Cite this Article

Ruo-Yao LI, Bo ZHANG, Bin WANG. Remote sensing image scene classification based on multilayer feature context encoding network[J]. Journal of Infrared and Millimeter Waves, 2021, 40(4): 530 Copy Citation Text

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References

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[6] O A B Penatti, K Nogueira, J A Dos Santos. Do deep features generalize from everyday objects to remote sensing and aerial scenes domains(2015).

[7] G Cheng, C Yang, X Yao et al. When deep learning meets metric learning: remote sensing image scene classification via learning discriminative CNNs. IEEE Trans. Geosci. Remote Sens., 56, 2811-2821(2018).

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[11] N He, L Fang, S Li et al. Remote sensing scene classiﬁcation using multilayer stacked covariance pooling. IEEE Trans. Geosci. Remote Sens., 56, 6899-6910(2018).

[12] X Lu, H Sun, X Zheng. A feature aggregation convolutional neural network for remote sensing scene classification. IEEE Trans. Geosci. Remote Sens., 57, 7894-7906(2019).

[13] G Huang, Z Liu, L Van der Maaten et al. Densely connected convolutional networks(2017).

[14] S Ioffe, C Szegedy. Batch normalization: accelerating deep network training by reducing internal covariate shift(2015).

[15] J Xie, N He, L Fang et al. Scale-free convolutional neural network for remote sensing scene classification. IEEE Trans. Geosci. Remote Sens., 57, 6916-6928(2019).

[16] C Szegedy, W Liu, Y Jia et al. Going deeper with convolutions(2015).

[17] G Xia, J Hu, F Hu et al. AID: a benchmark data set for performance evaluation of aerial scene classiﬁcation. IEEE Trans. Geosci. Remote Sens., 55, 3965-3981(2017).

[18] G Cheng, J Han, X Lu. Remote sensing image scene classification: benchmark and state of the art. Proceedings of the IEEE, 105, 1865-1883(2017).

[19] K He, X Zhang, S Ren et al. Deep residual learning for image recognition(2016).

[20] B Zhou, A Khosla, A Lapedriza et al. Learning deep features for discriminative localization(2016).

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Ruo-Yao LI, Bo ZHANG, Bin WANG. Remote sensing image scene classification based on multilayer feature context encoding network[J]. Journal of Infrared and Millimeter Waves, 2021, 40(4): 530

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