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Proceedings Paper

Integrating satellite images and lidar data for straight-line mapping
Author(s): Ahmed Elaksher; Abdullatif Alharthy; Tarig Ali
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Paper Abstract

Currently, most mapping tasks are carried out using remote sensing data such as satellite imageries and LIDAR point clouds. This paper presents the integration of a QuickBird imagery set (both pan and multispectral) and LIDAR DEM generated from a LIDAR point cloud for mapping the coastline. A number of image processing techniques were applied to pan image to generate a coastline. Then a supervised classification is performed on the multispectral image followed by a raster to vector conversion to extract another shoreline. A third line was created from the LIDAR data using a set of processing algorithms. The three lines are weighted and pixels belonging to all of them are grouped to fit a final coastline. In order to evaluate the results, we manually extracted the corresponding line from the pan image and compared points belonging to both lines. Differences averaged about 1.37 meters.

Paper Details

Date Published: 5 September 2017
PDF: 6 pages
Proc. SPIE 10402, Earth Observing Systems XXII, 104020Z (5 September 2017); doi: 10.1117/12.2275437
Show Author Affiliations
Ahmed Elaksher, California State Polytechnic Univ., Pomona (United States)
Abdullatif Alharthy, Jeddah Municipality (Saudi Arabia)
Tarig Ali, American Univ. of Sharjah (United Arab Emirates)


Published in SPIE Proceedings Vol. 10402:
Earth Observing Systems XXII
James J. Butler; Xiaoxiong (Jack) Xiong; Xingfa Gu, Editor(s)

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