A community natural disaster damage degree assessment method and related device
By explicitly modeling the relationships between local areas within a community, and using a backbone feature extraction network and learnable region query vectors for adaptive region aggregation, the problem of local damage information being difficult to transmit to the whole community in community-level scenarios is solved, achieving higher assessment accuracy and stability.
CN122435489APending Publication Date: 2026-07-21HAINAN UNIV
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HAINAN UNIV
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-21
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Figure CN122435489A_ABST
Abstract
The application discloses a community natural disaster damage degree evaluation method and related device. The method comprises the following steps: obtaining a community disaster image; extracting an image feature map in the community disaster image through a backbone feature extraction network, performing tiling processing on the extracted image feature map, and obtaining a feature sequence; performing adaptive region aggregation on the feature sequence by using a learnable region query vector, generating a plurality of local region features and corresponding region center positions; constructing inter-region semantic relationship and spatial relationship based on the local region features and the region center positions, and fusing to form a comprehensive region relationship matrix, performing relationship propagation update on the local region features, and obtaining the local region features after relationship enhancement; and performing importance weighted aggregation on the local region features after relationship enhancement, and generating a community overall damage representation. The application can improve the accuracy and stability of community disaster damage evaluation.
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