Remote sensing scene classification based on high-order graph convolutional network

Remote sensing scene classification based on high-order graph convolutional network

Remote sensing scene classification has gained increasing interest in remote sensing image understanding and feature representation is the crucial factor for classification methods. Convolutional Neural Network (CNN) generally uses hierarchical deep structure to automatically learn the feature repre...

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Bibliographic Details
Main Authors:	Yue Gao, Jun Shi, Jun Li, Ruoyu Wang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2021-02-01
Series:	European Journal of Remote Sensing
Subjects:	remote sensing scene classification feature representation graph convolutional network
Online Access:	http://dx.doi.org/10.1080/22797254.2020.1868273

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