Multi-source remote sensing image spatio-temporal fusion method based on edge alignment

By creating probabilistic maps and comparing multi-resolution similarity at boundary locations, and dynamically updating edge alignment information, the problems of false edges and cloud filling errors caused by changes in ground feature edges are solved, enabling adaptive fusion and accurate restoration of remote sensing images.

CN122367818APending Publication Date: 2026-07-10FUZHOU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
FUZHOU UNIV
Filing Date
2026-05-28
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing spatiotemporal fusion methods based on edge alignment for multi-source remote sensing images fail when dealing with dynamic changes in the edges of ground features over time. This leads to the failure of static edge alignment, the generation of false edges, and incorrect cloud filling directions, resulting in distortion of the fused images and inaccurate quantitative inversion.

Method used

By establishing a boundary preservation probability map for each boundary location and combining structural similarity comparisons at multiple resolution levels, the boundaries that need to be updated are dynamically identified. Alternative boundary information is extracted from recent cloudless high-resolution images and smoothly fused. In cloud-occluded areas, the filling direction weights are adjusted in reverse according to boundary differences, thereby achieving dynamic adaptive updating of edge alignment information.

Benefits of technology

It effectively solves the alignment deviation problem caused by dynamic changes in the edges of ground features, ensures that the edge information truly reflects the current orientation of ground features, avoids false edge generation and cloud area filling errors, and improves the fidelity of fused images and the reliability of quantitative applications.

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Abstract

This invention discloses a spatiotemporal fusion method for multi-source remote sensing images based on edge alignment, belonging to the field of remote sensing image processing technology. The method includes the following steps: establishing a boundary-preserving probability map for each boundary location; acquiring the current low-resolution image and recording the layers where differences occur; determining the boundaries that need updating based on the comparison results; calculating the offset adjustment amount; generating an updated boundary alignment offset field; calculating the difference between the predicted values ​​at the filled boundary and the actual observed values ​​outside the cloud area, and checking the consistency of the filling direction; adjusting the filling direction weights at each location along the path; generating a complete cloud-free high-resolution fused image, and saving the updated boundary alignment offset field and probability map. This invention solves the problem of static alignment failure caused by dynamic changes in ground object edges in existing technologies by establishing a boundary-preserving probability map and combining multi-scale structural comparison to dynamically identify the boundaries that need updating.
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