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Recently developed automatic dense image matching algorithms are now beingimplemented for DSM/DTM production, with their pixel-level surface generationcapability offering the prospect of partially alleviating the need for manualand semi-automatic stereoscopic measurements. In this paper, fivecommercial/public software packages for 3D surface generation are evaluated,using 5cm GSD imagery recorded from a UAV. Generated surface models areassessed against point clouds generated from mobile LiDAR and manualstereoscopic measurements. The software packages considered are APS, MICMAC,SURE, Pix4UAV and an SGM implementation from DLR.

Quality assessment of image matchers for DSM generation -- a comparative study based on UAV images