Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs

Author:

Bai Lubin,Huang Weiming,Zhang Xiuyuan,Du Shihong,Cong Gao,Wang Haoyu,Liu Bo

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference51 articles.

1. Ayush, K., Uzkent, B., Meng, C., Tanmay, K., Burke, M., Lobell, D. and Ermon, S., 2021. Geography-aware self-supervised learning. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 10181-10190).

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3. Deep learning-based remote and social sensing data fusion for urban region function recognition;Cao;ISPRS J. Photogramm. Remote Sens.,2020

4. Machine learning-based economic development mapping from multi-source open geospatial data;Cao;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2022

5. Unsupervised learning of visual features by contrasting cluster assignments;Caron;Adv. Neural Inf. Proces. Syst.,2020

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5. Geospatial Semantic Sensing of Urban Functional Zones from VHR Images and Geographical Entities;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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