5 September 2017 Integrating satellite images and lidar data for straight-line mapping
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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.
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Ahmed Elaksher, Ahmed Elaksher, Abdullatif Alharthy, Abdullatif Alharthy, Tarig Ali, Tarig Ali, } "Integrating satellite images and lidar data for straight-line mapping", Proc. SPIE 10402, Earth Observing Systems XXII, 104020Z (5 September 2017); doi: 10.1117/12.2275437; https://doi.org/10.1117/12.2275437
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