  Traditional photometric redshift methods use only color information about the
objects in question to estimate their redshifts. This paper introduces a new
method utilizing colors, luminosity, surface brightness, and radial light
profile to measure the redshifts of galaxies in the Sloan Digital Sky Survey
(SDSS). We take a statistical approach: distributions of galaxies from the SDSS
Large-Scale Structure (LSS; spectroscopic) sample are constructed at a range of
redshifts, and target galaxies are compared to these distributions. An adaptive
mesh is implemented to increase the percentage of the parameter space populated
by the LSS galaxies. We test the method on a subset of galaxies from the LSS
sample, yielding rms Delta-z of 0.025 for red galaxies and 0.030 for blue
galaxies (all with z < 0.25). Possible future improvements to this promising
technique are described, as is our ongoing work to extend the method to
galaxies at higher redshift.
