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Semantic segmentation sample augmentation based on simulated scene generation-case study on dock extraction from high spatial resolution imagery

Zheng, YL; Shen, Q; Wang, M; Yang, MY; Huang, JR; Feng, CY

Wang, M (corresponding author), Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing, Peoples R China.; Wang, M (corresponding author), Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China.; Wang, M (corresponding author), Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China.; Wang, M (corresponding author), State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Peoples R China.

INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021; 42 (13): 4965

Abstract

Deep learning-based semantic segmentation methods, such as fully convolutional networks (FCNs), are state-of-the-art techniques for object extraction ......

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