A shallow water depth extraction model based on high resolution multispectral imagery

Jun Fu; Dongqi Gu

doi:10.1117/12.832893

30 October 2009 A shallow water depth extraction model based on high resolution multispectral imagery

Jun Fu, Dongqi Gu

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74982B (2009) https://doi.org/10.1117/12.832893
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Shallow water depth extraction by remote sensing is an important research. Optical remote sensing can provide an alternative means for obtaining bathymetric data in areas where a traditional hydrographic survey may be difficult to obtain. IKONOS imagery can perform an important function in shallow water depth extraction because of its ability to provide data within three unique portions of the visible spectrum as well as a high spatial resolution of roughly four meters. But experiments indicated that, the bathymetric precision of high-resolution imagery is much lower than that of mid-resolution imagery such as TM imagery. In this paper, the affect factors of bathymetric precision of high-resolution imagery are presented. Moreover, on the basis of the conventional multi-band linear regression model , we develop an improved model by introducing a series of techniques including data processing by group averaging, image smooth, piece wise linear regression, data normalization, etc.. The improved model is more reasonable and accurate and suitable for high-resolution imagery. Using this improved mode, the shallow underwater topography of Dong-Sha Islands and nearby sea area is detected by IKONOS image. The results have preferable precision.

Citation Download Citation

Jun Fu and Dongqi Gu "A shallow water depth extraction model based on high resolution multispectral imagery", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982B (30 October 2009); https://doi.org/10.1117/12.832893

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