Knowledge and Geo-Object Based Graph Convolutional Network for Remote Sensing Semantic Segmentation

Knowledge and Geo-Object Based Graph Convolutional Network for Remote Sensing Semantic Segmentation

Pixel-based semantic segmentation models fail to effectively express geographic objects and their topological relationships. Therefore, in semantic segmentation of remote sensing images, these models fail to avoid salt-and-pepper effects and cannot achieve high accuracy either. To solve these proble...

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Bibliographic Details
Main Authors: Wei Cui, Meng Yao, Yuanjie Hao, Ziwei Wang, Xin He, Weijie Wu, Jie Li, Huilin Zhao, Cong Xia, Jin Wang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
remote sensing images
semantic segmentation
geo-object prior knowledge
graph neural network
Online Access:https://www.mdpi.com/1424-8220/21/11/3848

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https://www.mdpi.com/1424-8220/21/11/3848

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