A space-air-ground multi-source data fusion method and system for smart villages
By employing a strategy of spatiotemporal reconstruction and fusion of multi-source data from air, space, and ground, the heterogeneity and spatiotemporal differences of multi-source data in smart villages have been resolved. This has enabled efficient and robust environmental perception and disaster risk response, and improved the real-time decision-making capabilities of the agricultural management system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NINGBO UNIVERSITY OF TECHNOLOGY
- Filing Date
- 2026-04-01
- Publication Date
- 2026-07-14
AI Technical Summary
Existing multi-source data fusion technologies struggle to achieve real-time and efficient fusion of heterogeneous data with significant differences in spatiotemporal resolution and varying data quality in smart village scenarios. Furthermore, they lack robustness in capturing sudden environmental signals, leading to delayed disaster risk response.
By reconstructing and resampling multi-source monitoring data from space, air, and ground in a spatiotemporal grid and time, a standardized dataset is obtained. Then, by using algebraic reliability weighting and macroscopic curvature compensation data fusion strategies, and combining risk potential energy to obtain execution action instructions, the synergistic fusion of microscopic information sources and macroscopic trends is achieved.
While ensuring the accuracy of data fusion, it ensures that the executed action commands meet the current physiological needs of crops and adapt to environmental changes, thereby enhancing the defense capabilities and adaptive adjustment level of the smart rural agricultural management system.
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Abstract
Citation Information
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