FCAU-Net for the Semantic Segmentation of Fine-Resolution Remotely Sensed Images

FCAU-Net for the Semantic Segmentation of Fine-Resolution Remotely Sensed Images

The semantic segmentation of fine-resolution remotely sensed images is an urgent issue in satellite image processing. Solving this problem can help overcome various obstacles in urban planning, land cover classification, and environmental protection, paving the way for scene-level landscape pattern...

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Bibliographic Details
Main Authors:	Xuerui Niu, Qiaolin Zeng, Xiaobo Luo, Liangfu Chen
Format:	Article
Language:	English
Published:	MDPI AG 2022-01-01
Series:	Remote Sensing
Subjects:	semantic segmentation fine-resolution remotely sensed images attention mechanism asymmetric convolution block refinement fusion block
Online Access:	https://www.mdpi.com/2072-4292/14/1/215

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