Data Augmentation for Remote Sensing Image Based on Generative Adversarial Networks Under Condition of Few Samples

Yuchen Jiang; Bin Zhu

doi:10.3788/LOP202158.0810022

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 8 >Page 0810022 > Article

Laser & Optoelectronics Progress
Vol. 58, Issue 8, 0810022 (2021)

Data Augmentation for Remote Sensing Image Based on Generative Adversarial Networks Under Condition of Few Samples

Yuchen Jiang^* and Bin Zhu

Author Affiliations

State Key Laboratory of Pulsed Power Laser Technology, College of Electronic Countermeasures, National University of Defense Technology, Hefei, Anhui 230009, China

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DOI: 10.3788/LOP202158.0810022 Cite this Article Set citation alerts

Yuchen Jiang, Bin Zhu. Data Augmentation for Remote Sensing Image Based on Generative Adversarial Networks Under Condition of Few Samples[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810022 Copy Citation Text

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Yuchen Jiang, Bin Zhu. Data Augmentation for Remote Sensing Image Based on Generative Adversarial Networks Under Condition of Few Samples[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810022

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