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http://dx.doi.org/10.7848/ksgpc.2016.34.2.143

Detection of Seabed Rock Using Airborne Bathymetric Lidar and Hyperspectral Data in the East Sea Coastal Area  

Shin, Myoung Sig (Korea Hydrographic and Oceanographic Agency)
Shin, Jung Il (Research Institute, Geostory Inc.)
Park, In Sun (Korea Hydrographic and Oceanographic Agency)
Suh, Yong Cheol (Dept. of Civil Engineering, Pukyung National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.34, no.2, 2016 , pp. 143-151 More about this Journal
Abstract
The distribution of seabed rock in the coastal area is relevant to navigation safety and development of ocean resources where it is an essential hydrographic measurement. Currently, the distribution of seabed rock relies on interpretations of water depth data or point based bottom materials survey methods, which have low efficiency. This study uses the airborne bathymetric Lidar data and the hyperspectral image to detect seabed rock in the coastal area of the East Sea. Airborne bathymetric Lidar data detected seabed rocks with texture information that provided 88% accuracy and 24% commission error. Using the airborne hyperspectral image, a classification result of rock and sand gave 79% accuracy, 11% commission error and 7% omission error. The texture data and hyperspectral image were fused to overcome the limitations of individual data. The classification result using fused data showed an improved result with 96% accuracy, 6% commission error and 1% omission error.
Keywords
Seabed rock; Detection; Bathymetric Lidar; Hyperspectral Image;
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Times Cited By KSCI : 2  (Citation Analysis)
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