CAMP: A Cross-View Geo-Localization Method Using Contrastive Attributes Mining and Position-Aware Partitioning-Reference-Cited by-同舟云学术

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CAMP: A Cross-View Geo-Localization Method Using Contrastive Attributes Mining and Position-Aware Partitioning

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wu Qiong¹,Wan Yi¹^ORCID,Zheng Zhi²,Zhang Yongjun¹^ORCID,Wang Guangshuai³,Zhao Zhenyang³

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China

3. China Railway Design Group Company Ltd., Tianjin, China

Funder

China Railway Group Laboratory Basic Research Project

National Natural Science Foundation of China

Major Special Projects of Guizhou

Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-Temporal Big Data Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10644040.pdf?arnumber=10644040

Reference48 articles.

1. Spatial-aware feature aggregation for image based cross-view geo-localization;Shi

2. Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks

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

4. University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization

5. Lending Orientation to Neural Networks for Cross-View Geo-Localization

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