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Multiple-environment Self-adaptive Network for Aerial-view Geo-localization
Feb. 27, 2024, 5:47 a.m. | Tingyu Wang, Zhedong Zheng, Yaoqi Sun, Chenggang Yan, Yi Yang, Tat-Seng Chua
cs.CV updates on arXiv.org arxiv.org
Abstract: Aerial-view geo-localization tends to determine an unknown position through matching the drone-view image with the geo-tagged satellite-view image. This task is mostly regarded as an image retrieval problem. The key underpinning this task is to design a series of deep neural networks to learn discriminative image descriptors. However, existing methods meet large performance drops under realistic weather, such as rain and fog, since they do not take the domain shift between the training data and …
abstract aerial arxiv cs.cv design drone environment geo image key learn localization multiple network networks neural networks retrieval satellite series the key through type view
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