Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery

Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery

Although the deep semantic segmentation network (DSSN) has been widely used in remote sensing (RS) image semantic segmentation, it still does not fully mind the spatial relationship cues between objects when extracting deep visual features through convolutional filters and pooling layers. In fact, t...

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Bibliographic Details
Main Authors: Song Ouyang, Yansheng Li
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
deep semantic segmentation network (DSSN)
graph convolutional neural network (GCN)
remote sensing (RS)
semantic segmentation
spatial relationship
Online Access:https://www.mdpi.com/2072-4292/13/1/119

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https://www.mdpi.com/2072-4292/13/1/119

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