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利用卫星遥感图像影像光谱值和实际水深的同步资料进行统计相关分析，建立初步的水深遥感模式，应用于水下地形的反演．使用幂函数形式的非线性修正项对初步模式进行修正，弥补用局部样本点的回归方程代替整体时局部水域产生水深数值偏差的不足，得到应用于整个研究水域的水深遥感模式，使遥感水深值的平均相对误差从修正前的３７％下降到修正后的１７％，精度明显提高．
Using satellite remote sensing images spectral data and actual depth of the synchronized data for statistical correlation analysis, the establishment of a preliminary water depth remote sensing model, applied to the underwater topographic inversion. The nonlinear correction term in the form of power function is used to correct the initial mode, which makes up for the lack of numerical deviation of water depth in local waters when the regression equation of local sample points is used instead. The water depth remote sensing model applied to the whole study area is obtained, The average relative error decreased from 37% before correction to 17% after correction, the accuracy was significantly improved.