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Title : OPTIMAL PARAMETER DETERMINATION FOR MEAN-SHIFT SEGMENTATION-BASED SHORELINE EXTRACTION USING LIDAR DATA, AERIAL ORTHOPHOTOS, AND
Company : The Ohio State University
File Name : Lee_I_1.pdf
Size : 306702
Type : application/pdf
Date : 09-Jul-2010
Downloads : 4

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Featured Paper by

I-Chieh Lee, Liang Cheng, Ron Li

A method for shoreline extraction has been developed that is based on mean-shift segmentation and the integration of LiDAR data, satellite imagery and aerial orthophotos. This method first classifies LiDAR points as belonging either to a water surface or to land. The classification criterion is the homogenous nature of the Near-Infrared (N-IR) reflection of the water surface, the elevation, and color distribution. Subsequently a shoreline can be extracted by tracing the boundary between these two categories, water and land.
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