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Sun glitter is an interference factor of shallow water depth multispectral remote sensing, and it contains water depth information. Therefore, how to separate the sun glitter information and water radiation information, and improve the inversion ability of water depth using the two parts of information, is a scientific and practical research topic. In this study, the Lingshui Bay of Hainan Island was selected as the main study area, and the sun glitter separation method of high resolution multispectral remote sensing images and the semi-empirical water depth inversion models are evaluated and analyzed. And a multi-spectral remote sensing inversion method for water depth without the support of measured water depth data was developed. The following research results are obtained: The semi-empirical water depth inversion models were used for inversion and evaluation analysis of the water radiation information obtained by different sun glitter separation methods. Results showed that the logarithmic ratio depth model with blue and green bands is the best in the shallow area of 10 m. When the solar radiation of remote sensing image is weak, the best water depth inversion results can be obtained using Martin algorithm, the R2 is 0.94, the RMSE is 1.27m. When the solar radiation of remote sensing image is strong, the best water depth inversion results can be obtained using Hedley algorithm, the R2 is 0.89, the RMSE is 0.94m. A multispectral remote sensing water depth inversion algorithm without the support of measured water depth data was developed based on sun glitter information and water radiation information. The evaluation results showed that RMSE is 0.92m in shallow waters with depth less than 6m. Therefore, this algorithm has a certain application potential in shallow sea area without measured data. |
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