Label-Driven Graph Convolutional Network for Multilabel Remote Sensing Image Classification-Reference-Cited by-同舟云学术

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Label-Driven Graph Convolutional Network for Multilabel Remote Sensing Image Classification

Published:2024 Issue: Volume:17 Page:2245-2255
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Ma Boyi¹^ORCID,Wu Falin¹^ORCID,Hu Tianyang¹^ORCID,Fathollahi Loghman¹^ORCID,Sui Xiaohong²^ORCID,Liu Yushuang³^ORCID,Gantumur Byambakhuu⁴^ORCID

Affiliation:

1. SNARS Laboratory, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China

2. Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, China

3. Department of Navigation and Control, Beijing System Design Institute of Electro-mechanic Engineering, Beijing, China

4. Department of Geography, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar, Mongolia

Funder

Beihang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10365222.pdf?arnumber=10365222

Reference39 articles.

1. Remote sensing scene classification under scarcity of labelled samples—A survey of the state-of-the-arts

2. Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images

3. Learning multi-label scene classification

4. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

5. HCP: A Flexible CNN Framework for Multi-Label Image Classification

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Label-Guided Cross-Modal Attention Network for Multi-Label Aerial Image Classification;IEEE Geoscience and Remote Sensing Letters;2024

2. Design of an Efficient Model for Satellite Image Classification Using Graph Neural Networks and Elephant Herding Optimization;Learning and Analytics in Intelligent Systems;2024

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