Integrating satellite images and lidar data for straight-line mapping

Ahmed Elaksher; Abdullatif Alharthy; Tarig Ali

doi:10.1117/12.2275437

5 September 2017 Integrating satellite images and lidar data for straight-line mapping

Ahmed Elaksher, Abdullatif Alharthy, Tarig Ali

Proceedings Volume 10402, Earth Observing Systems XXII; 104020Z (2017) https://doi.org/10.1117/12.2275437
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

Citation Download Citation

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

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