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Proceedings Paper

A graph signal filtering-based approach for detection of different edge types on airborne lidar data
Author(s): Eda Bayram; Elif Vural; Aydin Alatan
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Paper Abstract

Airborne Laser Scanning is a well-known remote sensing technology, which provides a dense and highly accurate, yet unorganized point cloud of earth surface. During the last decade, extracting information from the data generated by airborne LiDAR systems has been addressed by many studies in geo-spatial analysis and urban monitoring applications. However, the processing of LiDAR point clouds is challenging due to their irregular structure and 3D geometry. In this study, we propose a novel framework for the detection of the boundaries of an object or scene captured by LiDAR. Our approach is motivated by edge detection techniques in vision research and it is established on graph signal filtering which is an exciting and promising field of signal processing for irregular data types. Due to the convenient applicability of graph signal processing tools on unstructured point clouds, we achieve the detection of the edge points directly on 3D data by using a graph representation that is constructed exclusively to answer the requirements of the application. Moreover, considering the elevation data as the (graph) signal, we leverage aerial characteristic of the airborne LiDAR data. The proposed method can be employed both for discovering the jump edges on a segmentation problem and for exploring the crease edges on a LiDAR object on a reconstruction/modeling problem, by only adjusting the filter characteristics.

Paper Details

Date Published: 4 October 2017
PDF: 10 pages
Proc. SPIE 10429, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing XIII, 104290B (4 October 2017); doi: 10.1117/12.2279146
Show Author Affiliations
Eda Bayram, École polytechnique fédérale de Lausanne (Switzerland)
Elif Vural, Middle East Technical Univ. (Turkey)
Aydin Alatan, Middle East Technical Univ. (Turkey)

Published in SPIE Proceedings Vol. 10429:
Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing XIII
Upendra N. Singh; Doina Nicoleta Nicolae, Editor(s)

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