[Paper] Urban Road Extraction Based-on Morphological Operations and Radon Transform on DSM Data

Abstract

The main problem in extracting a road in an urban area from an aerial photo is the shadow cast by buildings.Because of this, we use Digital Surface Model (DSM) data, which are based-on the elevation of land surfaces. The problems associated with DSM data is non-road area with similar elevations like parking places, parks and so on. In this work, we propose a method to perform road filtering using Radon transform and morphological operations. The initial road is the result of intensity enhancement and instantaneous, simple thresholding. The road filter performs an opening operation on the initial road with a line shape structuring element, where the line orientation is obtained from the Radon Transform. Finally, the road is constructed based on B-Spline from the extracted road skeleton. The experimental result shows that the proposed method improved the quality and the accuracy average within an acceptable time.

Multi-spectral and Topographic Fusion for Automated Road Extraction

“…Some studies analyzed DSM and used it to determine flooded basin [41] or fused it with Landsat images to extract water bodies, passages and small branching [28]. Integrating DSM with aerial data was also proposed by Herumurti et al in the recent road extraction studies, [42] and [43]. The basis of both works was the Radon transform, where the former and the latter adopted zero crossing strategy and morphology, respectively.…”