DSM Generation of Buildings based on Corresponding Object Constraint

Abstract

Common methods for DEM generation are based on collinearity equation, and rational function. Either of them require registered stereo pair as input. In order to register each point precisely, this paper proposes a corresponding image object constrained registration method based on object oriented image segmentation. Compared with current methods, the proposed method provides one geometric image transform (GIT) function for each pair of building roof because one GIT could fit well for just one roof. Object oriented segmentation not only helps us set the effective area for each GIT, but also provide us enough feature points from the boundary of a segmented building points to fit the coefficients of its GIT. The result by applying the proposed method on IKONOS stereo pair demonstrates the feasibility of generating building DSM with acceptable accuracy.