A refined approach for extracting and classifying minor planets from multicolor photometric surveys is presented and applied to data from the Sloan Digital Sky Survey (SDSS) and SkyMapper. Using color-based classification techniques, the taxonomy of a large number of asteroids is estimated, providing a framework for the analysis of large sky surveys. This methodology facilitates a deeper understanding of asteroid composition and the spatial distribution of asteroid populations, enabling the study of various aspects of the minor planet population and the evolution of the Solar System. The effectiveness of the approach is demonstrated by the classification of over 400,000 asteroids from the SDSS and SkyMapper surveys, representing a significant fraction of the total number of asteroids discovered to date. The potential for future insights using data from existing surveys such as Kepler, Pan-STARRS, and ZTF, as well as upcoming surveys such as LSST, is also discussed.