In through-water stereo remote sensing, the correction of the effect of light refraction on water depth determination is an unsolved problem. The challenge is that no solution exists for apparent positions when the conjugate image rays are non-intersecting. This paper proposes a new water depth refraction correction algorithm for through-water stereo remote sensing. The midpoint of the shortest line segment between two non-intersecting conjugate image rays is used as the apparent position, so that the mathematical relationship between the apparent and actual depths is established under the “no solution condition”. The new algorithm is reasonable and applicable whether or not conjugate image rays are intersecting. Compared with the existing algorithms, the new algorithm can improve bathymetric accuracy in different degrees. The improvement becomes more significant as the off-nadir view angle difference and the depth increase. Results for Area 1 showed that, compared with the three existing algorithms, the new algorithm improved RMSE accuracy by about 22%, 29% and 24% respectively. The new algorithm enables reasonable water depth refraction correction to be implemented in any case (whether conjugate image rays are intersecting or not).

在水上立体遥感中，光折射对水深确定的影响的校正是尚未解决的问题。挑战在于，当共轭图像射线不相交时，对于表观位置不存在解决方案。提出了一种用于水上立体遥感的水深折射校正新算法。将两条不相交的共轭图像射线之间最短线段的中点用作视在位置，以便在“无解条件”下建立视在深度与实际深度之间的数学关系。无论共轭图像光线是否相交，新算法都是合理且适用的。与现有算法相比，新算法可以在不同程度上提高测深精度。随着离天底视角差和深度的增加，改进变得更加显着。区域1的结果表明，与现有的三种算法相比，新算法分别将RMSE精度提高了约22％，29％和24％。新算法使在任何情况下都可以实现合理的水深折射校正（共轭图像射线是否相交）。