DEM generation with PRISM/ALOS simulation data: a case study using airborne three-line scanner imagery

Abstract

For natural landscape, area-based matching can be successfully applied because the elevation is undulating rather gently. On the other hands, urban areas with the mixture of artificial structures such as buildings and natural landscape, where the elevation tends to have steeper changes, conventional area-based matching may not be successful. Many computer vision papers demonstrated matching methods based on features such as edge and regions extracted from images have much better performance for artificial structures. 2.5 m ground resolution of PRISM, however, may not be enough to extract detailed features enough to represent artificial structures. This may suggest the combination of area-based and feature-based matching approach can be more appropriate for ALOS PRISM data. This paper presents the results of experiments on the combination of the two approaches using simulated PRISM image generated from air-borne image sensor, TLS (Three Line Scanner).