In the field of sea surface detection， solar flares cause a large area of pixel saturation in photoelectric detection equipment， seriously hindering the information collection work of sea surface targets. In order to suppress solar flares， a flare suppression method based on polarization feature region decomposition was proposed. This method decomposed the characteristics of the flare area by analyzing the collection of polarization data by the detector. For the polarization unsaturated glare region， the polarization component image was solved using the complete polarization decomposition method to filter out some reflected light and restore the scene information of the glare obscured area. Simultaneously we set the grayscale tolerance and peel off the polarization saturated glare area. In response to the problem of data distortion in polarization saturated glare areas， FMM image restoration algorithm was adopted to diffuse water surface information from non glare areas to glare areas and reconstruct grayscale data. This article built a dazzling simulation and polarization imaging platform indoors， and conducted algorithm testing on the collected images. The experimental results show that the suppressed image reduces the number of saturated pixels by 99.98% and basically eliminates saturated pixels. At the same time， the average grayscale decreased by 59.35%. The effectiveness and feasibility of the method proposed in this article for suppressing dazzling clutter have been verified.