Fully Convolutional Network Method of Semantic Segmentation of Class Imbalance Remote Sensing Images

Zhihuan Wu; Yongming Gao; Lei Li; Junshi Xue

doi:10.3788/AOS201939.0428004

Journals >Acta Optica Sinica >Volume 39 >Issue 4 >Page 0428004 > Article

Acta Optica Sinica
Vol. 39, Issue 4, 0428004 (2019)

Fully Convolutional Network Method of Semantic Segmentation of Class Imbalance Remote Sensing Images

Zhihuan Wu^1、2、*, Yongming Gao³, Lei Li⁴, and Junshi Xue¹

Author Affiliations

¹ Graduate School, Space Engineering University, Beijing 101416, China

² 63883 Troops, Luoyang, Henan 471000, China

³ School of Space Information, Space Engineering University, Beijing 101416, China

⁴ Department of Electronic and Optical Engineering, Space Engineering University, Beijing 101416, China

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DOI: 10.3788/AOS201939.0428004 Cite this Article Set citation alerts

Zhihuan Wu, Yongming Gao, Lei Li, Junshi Xue. Fully Convolutional Network Method of Semantic Segmentation of Class Imbalance Remote Sensing Images[J]. Acta Optica Sinica, 2019, 39(4): 0428004 Copy Citation Text

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References

Zhihuan Wu, Yongming Gao, Lei Li, Junshi Xue. Fully Convolutional Network Method of Semantic Segmentation of Class Imbalance Remote Sensing Images[J]. Acta Optica Sinica, 2019, 39(4): 0428004

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