Towards automatic lithological classification from remote sensing data using support vector machines

► Study illustrates that SVM can help in building first-pass lithological map. ► Combination of ASTER, DEM and aeromagnetic provided 92% classification accuracy. ► Comparison with MLC shows that the SVM provides higher accuracy.