Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs
Most supervised geographic mapping methods with very-high-resolution (VHR) images are designed for a specific task, leading to high label-dependency and inadequate task-generality. Additionally, the lack of socio-economic information in VHR images limits their applicability to social/human-related g...
Main Authors: | Bai, Lubin, Huang, Weiming, Zhang, Xiuyuan, Du, Shihong, Cong, Gao, Wang, Haoyu, Liu, Bo |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/170129 |
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