Waves are the most obvious surface stripy features in the highresolution synthetic aperture radar (SAR) images of the ocean. In order to effectively detect or retrieve the nonwave phenomena from SAR ocean images, the interference from the waves need to be suppressed. The traditional ocean wave clutter suppression method is mainly based on the geometric texture of the images, by means of filtering in the special frequency domain or wavelet domain. However, the regions in the frequency domain or wavelect domain which contain information of the waves may also contain spectra of other nonwave objects, thus leading to an unwanted information losing when filtering on these regions. In this paper, we propose a new ocean wave clutter suppression method based on series of SAR images. We use the differences of the two images in combination with the wave dispersion relation to cancel the wavestripe in the images. The main point of our method is to use both the geometric information and the temporal information, thus enable us to suppress the waves selectively while leaving the nonwave information unharmed. In addition, we use real SAR data to validate it. The result of the experiments shows that the proposed method can effectively suppressed the wave stripes and maintain the nonwave information in the images. Our method outperformed the traditional filterbased method as well.