Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery

Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery

Semantic segmentation has been a fundamental task in interpreting remote sensing imagery (RSI) for various downstream applications. Due to the high intra-class variants and inter-class similarities, inflexibly transferring natural image-specific networks to RSI is inadvisable. To enhance the disting...

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Bibliographic Details
Main Authors: Xin Li, Tao Li, Ziqi Chen, Kaiwen Zhang, Runliang Xia
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
semantic segmentation
remote sensing imagery
covariance matrix analysis
edge distributions
end-to-end neural network
Online Access:https://www.mdpi.com/2072-4292/14/1/102

Internet

https://www.mdpi.com/2072-4292/14/1/102

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