  Our current understanding of the low surface brightness universe is quite
incomplete, not only in the optical, but also in other wavelength regimes. As a
demonstration of the type of science which is facilitated by a virtual
observatory, we have undertaken a project utilizing both images and catalogs to
explore the multi-wavelength, low surface brightness universe. Here, we present
some initial results of this project. Our techniques are complimentary to
normal data reduction pipeline techniques in that we focus on the diffuse
emission that is ignored or removed by more traditional algorithms. This
requires a spatial filtering which must account for objects of interest, in
addition to observational artifacts (e.g., bright stellar halos). With this
work we are exploring the intersection of the catalog and image domains in
order to maximize the scientific information we can extract from the federation
of large survey data.
