SHALLOW WATER BATHYMETRY MAPPING USING HYPERSPECTRAL DATA

被引：0

作者：

Kakuta, Satomi ^{[1
]}

Ariyasu, Emiko ^{[1
]}

Takeda, Tomomi ^{[2
]}

机构：

[1] Asia Air Survey Co Ltd, Kawasaki, Kanagawa, Japan

[2] Japan Space Syst, Tokyo, Japan

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

Satellite Derived Bathymetry; inversion method; semi-analytical model; simulation; Bottom Index;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 Akajima 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.

引用

页码：1539 / 1542

页数：4

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