Abstract: A method and apparatus for forecasting the likely occurrence of convective weather events, such as thunderstorms. An image filter is used to identify areas of interest within a meteorological image that are likely to contain convective weather. The image filter and an image difference processor identify sub-image regions within the meteorological image that are likely to experience a growth and/or decay of weather events. The classification filter classifies sub-image regions within the meteorological image into a number of predetermined storm categories. The meteorological images are filtered using matched filters, features within the filtered images are tracked, and the resulting track vectors are combined according to the storm classification. The meteorological image, interest image, growth/decay image, classification image, and combined vectors are processed to produce the short-term forecast.

Abstract: A method and apparatus for forecasting the likely occurrence of convective weather events, such as thunderstorms. An image filter is used to identify areas of interest within a meteorological image that are likely to contain convective weather. The image filter and an image difference processor identify areas within the meteorological image that are likely to experience a growth and/or decay of weather events. The meteorological image, interest image and growth/decay image are processed to produce the short-term forecast.

Abstract: A method and apparatus for forecasting the likely occurrence of convective weather events, such as thunderstorms. An image filter is used to identify areas of interest within a meteorological image that are likely to contain convective weather. The image filter and an image difference processor identify sub-image regions within the meteorological image that are likely to experience a growth and/or decay of weather events. The classification filter classifies sub-image regions within the meteorological image into a number of predetermined storm categories. The meteorological images are filtered using matched filters, features within the filtered images are tracked, and the resulting track vectors are combined according to the storm classification. The meteorological image, interest image, growth/decay image, classification image, and combined vectors are processed to produce the short-term forecast.

Abstract: A method and apparatus for identifying a weather condition from visible imagery. A sequential series of visible images depicting a field of view is received. A composite visible image representing a long-term average of the monitored field of view is maintained and updated with each subsequent image. Each received image and the composite visible image are edge-detection filtered. Persistent edges existing in both the received image and the composite visible image are extracted and used to predict a weather condition. In one embodiment, a statistical value determined from the extracted edge image is used to predict visibility using a predetermined scoring function.

Abstract: A method and apparatus for forecasting the likely occurrence of convective weather events, such as thunderstorms. An image filter is used to identify areas of interest within a meteorological image that are likely to contain convective weather. The image filter and an image difference processor identify areas within the meteorological image that are likely to experience a growth and/or decay of weather events. The meteorological image, interest image and growth/decay image are processed to produce the short-term forecast.