Shallow Water Bathymetry Mapping Using Hyperspectral Data
| Autor: | Emiko Ariyasu, Satomi Kakuta, Tomomi Takeda |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences 010604 marine biology & hydrobiology Hyperspectral imaging Atmospheric model Field survey 01 natural sciences Water depth Waves and shallow water Benthic zone Bathymetry Bay Geology 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2018.8518386 |
| Popis: | Using airborne hyperspectral images and field survey data of Yamada Bay, northeast Japan, we examined to improve the water depth accuracy by enhancing benthic type classification accuracy and generalize the method. Also, the method was applied to airborne hyperspectral data of Aka-jima Island, southwest Japan and the versatility of the method was verified. Compared to field survey data in Yamada Bay, the determination coefficient of water depth improved from 0.19 to 0.50, however, RMSE increased from 2.7 m to 3.3 m. In Aka-jima Island, the determination coefficient improved from 0.34 to 0.74, and RMSE decreased from 2.6 m to 1.3 m. |
| Databáze: | OpenAIRE |
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