Urban Objects Segmentation Using Edge Detection

Sergejs Kodors, Imants Zarembo


This manuscript describes urban objects segmentation using edge detection methods. The goal of this research was to compare an efficiency of edge detection methods for orthophoto and LiDAR data segmentation. The following edge detection methods were used: Sobel, Prewitt and Laplacian, with and without Gaussian kernel. The results have shown, that LiDAR data is better, because it does not contain shadows, which produce a noise.


edge detection; remote sensing; segmentation

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DOI: http://dx.doi.org/10.17770/etr2013vol2.853


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