Identifying visual storm signatures from satellite images
US9760805B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 9, 2015 |
| Grant date | Sep 12, 2017 |
| Priority date | — |
| Expiry date | Oct 16, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30192
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.