Application of Support Vector Regression to Extracting Data from Non-Stereo Satellite Images of Impact Craters

Student author(s): Laura Chin ’23

Faculty supervisor: Wes Watters

Abstract: Application of Support Vector Regression to Extracting Data from Non-Stereo Satellite Images of Impact Craters

Link to Presentation

Keywords: Support vector regression, Computer vision, Impact crater, Planetary surface evolution

Funding source: Department of Astronomy Annie J. Cannon Astronomy Fellow and Whiting Medal Fund