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

• المؤلفون الرئيسيون: Bai, Lubin, Huang, Weiming, Zhang, Xiuyuan, Du, Shihong, Cong, Gao, Wang, Haoyu, Liu, Bo
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Multi-Modal Representation Learning; Remote Sensing Images
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/170129
• المؤسسة: Nanyang Technological University

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...