Patent · US Active

Method for flood disaster monitoring and disaster analysis based on vision transformer

US11521379B1 · kind B1 · utility

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Key dates

Filing dateJul 4, 2022
Grant dateDec 6, 2022
Priority date
Expiry dateJul 4, 2042

Classification

  • Technology area (CPC Y)Emerging Cross-Sectional Technologies
  • CPC primaryY02A10/40
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A method for flood disaster monitoring and disaster analysis based on vision transformer is provided. It includes: step (1), constructing a bi-temporal image change detection model based on vision transformer; step (2), selecting bi-temporal remote sensing images to make flood disaster labels; and step (3), performing flood monitoring and disaster analysis according to the bi-temporal image change detection model constructed in the step (1). In combination with the bi-temporal image change detection model based on an advanced vision transformer in deep learning and radar data which is not affected by time and weather and has strong penetration ability, data when floods occur can be obtained and recognition accuracy is improved.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.