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Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

  • Published:2022 Issue: Volume:60 Page:1-18
  • ISSN:0196-2892
  • Container-title:IEEE Transactions on Geoscience and Remote Sensing
  • language:
  • Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Hongruixuan1ORCID,Yokoya Naoto1ORCID,Wu Chen2ORCID,Du Bo3

Affiliation:

1. Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan

2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

3. School of Computer Science and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China

Funder

Japan Science and Technology Agency FOREST

Japan Society for the Promotion of Science KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 41 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. A Lightweight False Alarm Suppression Method in Heterogeneous Change Detection;Journal of Systems Engineering and Electronics;2024-08

2. A Transformer-Enhanced Encoder-Decoder Network For Unsupervised Heterogeneous Remote Sensing Image Change Detection;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Change Detection between Optical Remote Sensing Imagery and Map Data Via Segment Anything Model (SAM);IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Self-supervised change detection of heterogeneous images based on difference algorithms;European Journal of Remote Sensing;2024-07

5. CIBENet: A channel interaction and bridging-enhanced change detection network for optical and SAR remote sensing images;International Journal of Applied Earth Observation and Geoinformation;2024-07
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