一种海面高度异常数据融合方法及装置
By flattening and scale-separating multi-source satellite sea surface height anomaly data, and combining spatiotemporal optimal interpolation and compensation models, the problem of not being able to simultaneously recover large-scale background fields and sub-mesoscale fine structures in existing technologies has been solved, resulting in more accurate data fusion results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NATIONAL SATELLITE OCEAN APPLICATION SERVICE
- Filing Date
- 2026-04-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing multi-source satellite sea surface height anomaly data fusion methods struggle to simultaneously ensure the stability and accuracy of the large-scale background field and the restoration of fine structures at the sub-mesoscale, which can easily lead to excessive smoothing of small-scale perturbations during the fusion process.
By flattening the wide-swath two-dimensional sea surface height anomaly data and performing scale separation, the data is decomposed into large-scale and sub-mesoscale components. The spatiotemporal optimal interpolation method is used to fuse them separately, and a trained compensation model is used to compensate for the sub-mesoscale components. Finally, the fusion results at different scales are reconstructed.
It achieves the effective recovery of both background field stability and sub-mesoscale detail information in the fusion of multi-source satellite sea surface height anomaly data, and alleviates the problem of excessive smoothing of small-scale structures in the fusion process.
Smart Images
Figure CN122087726B_ABST