Aiming at the problem that the precision of the traditional polarized light orientation algorithm decreases in cloudy weather, this paper proposes a method for atmospheric polarized light orientation in cloudy weather. First, the directional model of polarized light for any pixel is established according to the known information; then, based on the directional model, the interior points that meet the requirements are screened out using the random sampling consistent algorithm, and the most satisfactory directional model is achieved according to the selected interior points; finally, the optimal directional model is used to calculate the heading angle, thereby realizing the orientation via atmospheric polarized light. The validity of the method is proved by the actual data, and the calculated heading angle errors are smaller than 0.5° and 1° in partly cloudy and cloudy weather, respectively.
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