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SDPL: Shifting-Dense Partition Learning for UAV-View Geo-Localization
March 8, 2024, 5:45 a.m. | Quan Chen, Tingyu Wang, Zihao Yang, Haoran Li, Rongfeng Lu, Yaoqi Sun, Bolun Zheng, Chenggang Yan
cs.CV updates on arXiv.org arxiv.org
Abstract: Cross-view geo-localization aims to match images of the same target from different platforms, e.g., drone and satellite. It is a challenging task due to the changing both appearance of targets and environmental content from different views. Existing methods mainly focus on digging more comprehensive information through feature maps segmentation, while inevitably destroy the image structure and are sensitive to the shifting and scale of the target in the query. To address the above issues, we …
abstract arxiv cs.cv drone environmental feature focus geo images information localization maps match platforms satellite targets through type view
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