Classification Method of High-Resolution Remote Sensing Scenes Based on Fusion of Global and Local Deep Features

Xi Gong; Liang Wu; Zhong Xie; Zhanlong Chen; Yuanyuan Liu; Kan Yu

doi:10.3788/AOS201939.0301002

Journals >Acta Optica Sinica >Volume 39 >Issue 3 >Page 0301002 > Article

Acta Optica Sinica
Vol. 39, Issue 3, 0301002 (2019)

Classification Method of High-Resolution Remote Sensing Scenes Based on Fusion of Global and Local Deep Features

Xi Gong¹, Liang Wu^1、2, Zhong Xie^1、2, Zhanlong Chen^1、2, Yuanyuan Liu^1、*, and Kan Yu³

Author Affiliations

¹ Department of Information Engineering, China University of Geosciences, Wuhan, Hubei 430074, China

² National Engineering Research Center of Geographic Information System, Wuhan, Hubei 430074, China

³ Department of Information Science and Technology, Wenhua College, Wuhan, Hubei 430074, China

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DOI: 10.3788/AOS201939.0301002 Cite this Article Set citation alerts

Xi Gong, Liang Wu, Zhong Xie, Zhanlong Chen, Yuanyuan Liu, Kan Yu. Classification Method of High-Resolution Remote Sensing Scenes Based on Fusion of Global and Local Deep Features[J]. Acta Optica Sinica, 2019, 39(3): 0301002 Copy Citation Text

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References

CLP Journals

[1] Wenxiu Teng, Ni Wang, Taisheng Chen, Benlin Wang, Menglin Chen, Huihui Shi. Deep Adversarial Domain Adaptation Method for Cross-Domain Classification in High-Resolution Remote Sensing Images[J]. Laser & Optoelectronics Progress, 2019, 56(11): 112801

[2] Wenxiu Teng, Ni Wang, Taisheng Chen, Benlin Wang, Menglin Chen, Huihui Shi. Deep Adversarial Domain Adaptation Method for Cross-Domain Classification in High-Resolution Remote Sensing Images[J]. Laser & Optoelectronics Progress, 2019, 56(11): 112801

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