(1) We will use the technologies of image processing and
pattern recognition, such as image morphology segmentation, Support Vector
Machines (SVMs), and neural networks to detect and characterize three
important solar activities in real-time: filament eruptions, flares, and
emerging flux regions (EFRs).
(2) We will combine state-of-art parallel computing
techniques with phase diversity speckle imaging techniques, to yield near
real-time diffraction limited images with a cadence of approximately 10 seconds.
(3) We will develop Web based software tools to post our
processed data, events and forecasting in real time, and to be integrated
with current solar activity and space weather prediction Web pages at Big
Bear Solar Observatory (BBSO)