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Wang Yanhong, Chen Yilan, Zhou Xinghua, Yang Lei, Fu Yanguang. Research on reef bathymetry using remote sensing based on polynomial regression model[J]. Haiyang Xuebao, 2018, 40(3): 121-128. doi: 10.3969/j.issn.0253-4193.2018.03.012
Citation: Wang Yanhong, Chen Yilan, Zhou Xinghua, Yang Lei, Fu Yanguang. Research on reef bathymetry using remote sensing based on polynomial regression model[J]. Haiyang Xuebao, 2018, 40(3): 121-128. doi: 10.3969/j.issn.0253-4193.2018.03.012

Research on reef bathymetry using remote sensing based on polynomial regression model

doi: 10.3969/j.issn.0253-4193.2018.03.012
  • Received Date: 2017-03-28
  • The method proposed by Lyzenga et al., due to its simplicity and effectiveness, has been widely applied to shallow-water bathymetry. However, this method is easy to underfit which will lead to low precision. We propose a modified model to improve the precision which will fit more correctly by amplifying the characteristic dimension and adding the degree of polynomial. We use the proposed model with WorldView-2 multispectral images and the measured 0-30 m water depth data to estimate the shallow water depth around the reef, and the 10-fold cross validation and residual analysis to validate the model. The results indicate that our model can improve the precision and is optimal using the degree of polynomial 3. At last, the water depth estimated by our model is used to calculate the terrain model around the reef, which can express the topographic feature intuitively and abundantly.
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