Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 583-587, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W5-583-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
11 Dec 2015
AUTOMATIC ROAD EXTRACTION BASED ON INTEGRATION OF HIGH RESOLUTION LIDAR AND AERIAL IMAGERY
S. Rahimi1, H. Arefi1, and R. Bahmanyar2 1School of Surveying and Geospatial Engineering, University of Tehran, Tehran, Iran
2Institute of Remote Sensing Technology (IMF), German Aerospace Center (DLR), Wessling, Germany
Keywords: Automatic Road Extraction, High Resolution Aerial Imagery, Hough Transform, LiDAR, Principal Component Analysis Abstract. In recent years, the rapid increase in the demand for road information together with the availability of large volumes of high resolution Earth Observation (EO) images, have drawn remarkable interest to the use of EO images for road extraction. Among the proposed methods, the unsupervised fully-automatic ones are more efficient since they do not require human effort. Considering the proposed methods, the focus is usually to improve the road network detection, while the roads’ precise delineation has been less attended to. In this paper, we propose a new unsupervised fully-automatic road extraction method, based on the integration of the high resolution LiDAR and aerial images of a scene using Principal Component Analysis (PCA). This method discriminates the existing roads in a scene; and then precisely delineates them. Hough transform is then applied to the integrated information to extract straight lines; which are further used to segment the scene and discriminate the existing roads. The roads’ edges are then precisely localized using a projection-based technique, and the round corners are further refined. Experimental results demonstrate that our proposed method extracts and delineates the roads with a high accuracy.
Conference paper (PDF, 1657 KB)


Citation: Rahimi, S., Arefi, H., and Bahmanyar, R.: AUTOMATIC ROAD EXTRACTION BASED ON INTEGRATION OF HIGH RESOLUTION LIDAR AND AERIAL IMAGERY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 583-587, https://doi.org/10.5194/isprsarchives-XL-1-W5-583-2015, 2015.

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