A Stacked Stereo Graph Convolutional Network for SAR Image Change Detection-Reference-Cited by-同舟云学术

A Stacked Stereo Graph Convolutional Network for SAR Image Change Detection

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 CIE International Conference on Radar (Radar)
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Author:

Jia Lu¹,Zhang Tiantian¹,Ai Jiaqiu²,Lu Yunlong³,Fang Jing²

Affiliation:

1. School of Computer and Information, Hefei University of Technology,Anhui Province Key Laboratory of Industry Safety and Emergency Technology,Hefei,Anhui,China

2. School of Computer and Information, Hefei University of Technology,Hefei,Anhui,China

3. 38th Institute of China Electronics Technology Group Company,Hefei,Anhui,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10027857/10027626/10028203.pdf?arnumber=10028203

Reference14 articles.

1. Large-Scale Learnable Graph Convolutional Networks

2. Semi-Supervised Classification with Graph Convolutional Networks;kipf;International Conference on Learning Representations conference,2017

3. Semisupervised Change Detection Using Graph Convolutional Network

4. Pointwise SAR image change detection based on stereograph model with multiple-span neighbourhood information

5. Multiregion Image Segmentation by Parametric Kernel Graph Cuts

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