New image data mining mechanisms that enable content-based
retrieval of images of interest from a large collection of
satellite data of the Earth's aurorae are described. The
mechanisms enable mining for wide aurorae, aurorae with large
ovals, standard aurorae, and theta aurorae. Shape characteristics
of these classes of aurorae are exploited by the mining
mechanisms. Experimental results that benchmark the accuracy of
the mechanisms are also presented.