Detection of Seabed Rock Using Airborne Bathymetric Lidar and Hyperspectral Data in the East Sea Coastal Area
| Autor: | Jung Il Shin, In Sun Park, Myoung Sig Shin, Yong Cheol Suh |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
Hyperspectral imaging 010502 geochemistry & geophysics 01 natural sciences Texture (geology) Water depth Lidar Classification result General Earth and Planetary Sciences Bathymetry Hydrography Geomorphology Geology Seabed 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 34:143-151 |
| ISSN: | 1598-4850 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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