Globally Optimal DSM Fusion

This work presents the mathematical formulation of a novel globally optimal DSM fusion method that can be used to combine several DSMs extracted from airborne or spaceborne stereo images. The main novelty is the definition of a convex energy functional with a beta-Lipschitz continuous gradient that allows a trivial solution of the posed minimization problem. The experiments are based on two different minimization schemes and are applied on airborne optical, on spaceborne optical
 and on spaceborne SAR images. The resulting fused DSMs are rich in detail and are of higher quality than results of other local methods.