Multilevel Feedback Joint Representation Learning Network Based on Adaptive Area Elimination for Cross-View Geo-Localization-Reference-Cited by-同舟云学术

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Multilevel Feedback Joint Representation Learning Network Based on Adaptive Area Elimination for Cross-View Geo-Localization

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ge Fawei¹^ORCID,Zhang Yunzhou¹^ORCID,Wang Li¹^ORCID,Liu Wei²,Liu Yixiu³,Coleman Sonya⁴^ORCID,Kerr Dermot⁴^ORCID

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China

2. Jiangsu Shuguang Opto-Electronics Company Ltd, Yangzhou, Jiangsu, China

3. School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China

4. Intelligent Systems Research Centre, Ulster University, Derry, U.K.

Funder

National Natural Science Foundation of China

Major Science and Technology Projects of Liaoning Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10517694.pdf?arnumber=10517694

Reference49 articles.

1. Optimal Feature Transport for Cross-View Image Geo-Localization

2. Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization

3. It’s Okay to Be Wrong: Cross-View Geo-Localization With Step-Adaptive Iterative Refinement

4. Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval

5. UAV-Satellite View Synthesis for Cross-view Geo-Localization

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