Multi-level representation learning via ConvNeXt-based network for unaligned cross-view matching

Cross-view matching refers to the use of images from different platforms (e.g. drone and satellite views) to retrieve the most relevant images, where the key is that the viewpoints and spatial resolution. However, most of the existing methods focus on extracting fine-grained features and ignore the...

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Bibliographic Details

Published in:	Geo-spatial Information Science
Main Authors:	Fangli Guan, Nan Zhao, Zhixiang Fang, Ling Jiang, Jianhui Zhang, Yue Yu, Haosheng Huang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2025-10-01
Subjects:	Cross-view matching ConvNeXt satellite view drone view multilevel feature
Online Access:	https://www.tandfonline.com/doi/10.1080/10095020.2024.2439385