An improved U-Net method for the semantic segmentation of remote sensing images
Author:
Funder
National Basic Research Program of China
Science and Technology Department, Heilongjiang Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02542-9.pdf
Reference40 articles.
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3. Guo Y, Liu Y, Georgiou T, Lew MS (2018) A review of semantic segmentation using deep neural networks. Int J Multimed Inf Retr 7(2):87–93
4. Yi Y, Zhang Z, Zhang W, Zhang C, Li W, Zhao T (2019) Semantic segmentation of urban buildings from vhr remote sensing imagery using a deep convolutional neural network. Remote Sens 11 (15):1774
5. Zhang L, Zhang L, Du B (2016) Deep learning for remote sensing data:A technical tutorial on the state of the art. IEEE Geosci Remote Sens Mag 4(2):22–40
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