We are University of Michigan Students in the Digital Signal Processing course, EECS 351. This website is designed to present our work in designing an algorithm to classify satellite imagery. The goal of the algorithm is to input raw satellite imagery and a known road map database into software that can extract features from the imagery and correctly locate its position on the road map.

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The basis for this project has many applications.  Consider a tool like Google Maps which provides users with interchangeable views of road maps and satellite imagery.  These two views are perfectly aligned to allow for a smooth transition and overlaying of information.  Furthermore, our approaches can be generalized and be considered in applications for the automatic classification of large datasets from remote sensing.