Celebrating 70th Anniversary of Beijing University of Posts and Telecommunications—Satellite–Ground Network Data-Fusion Technology and Its Applications

Dear Colleagues,

Satellite–ground data-fusion technology supports better utilization of aerospace and ground information and enables the use of multi-source heterogeneous data, playing an irreplaceable role in fields such as meteorological forecasting, disaster monitoring, emergency communications, and intelligent transportation. By integrating the wide-area coverage of satellite remote sensing data with the speed and high resolution of ground sensor networks, this technology can provide a basis for more comprehensive and accurate decision-making in cross-domain scenarios and can greatly improve the efficiency of data utilization. However, there are significant differences between satellite and ground data regarding transmission links, data characteristics, and application requirements. These differences frequently lead to problems such as low efficiency in collaborative data processing, insufficient fusion accuracy, and poor cross-platform compatibility. This poses a considerable challenge for the construction of a stable, efficient satellite–ground data-fusion system that can adapt to the needs of multiple industries. Therefore, there is an urgent need to integrate technological research and development with theoretical innovation to drive the development of more intelligent and reliable satellite–ground data-fusion technology with more extensive applications.

Beijing University of Posts and Telecommunications (BUPT) is a key national university with unique strengths in information and communication technology, and has cultivated much talent and produced influential research in the information industry over the past 70 years. Against the backdrop of the 70th anniversary of BUPT’s founding, this Special Issue aims to further boost academic exchange and technological innovation in the information and communication domain. It focuses on showcasing the latest technological progress, innovative theoretical methods, and typical application cases in this field, building a platform for academic exchange and skill sharing for international researchers in related fields. This Special Issue welcomes original research papers and review articles on (but not limited to) the following topics:

• Heterogeneity unification and standardization of multi-source satellite–ground data;
• Efficient transmission and lightweight processing of satellite–ground data;
• AI-based intelligent satellite–ground data-fusion models;
• Satellite–ground data fusion in meteorological/geological/marine applications;
• Collaborative emergency communication and sharing of satellite–ground data security;
• Design of satellite–ground data-fusion systems;
• Lightweight AI model deployment for multi-level edge intelligence nodes;
• Performance evaluation and test verification for satellite–ground data-fusion systems;
• Semantic encoding optimization for efficient transmission of satellite–ground data.

Dr. Jiaxin Zhang
Dr. Yaoqi Liu
Dr. Yuexing Peng
Dr. Yueying Zhang
Guest Editors

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