ABSTRACT

Tang, C., 2018. Noise reduction method of adaptive wiener filtering for ocean remote sensing image. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 651–655. Coconut Creek (Florida), I SSN 0749-0208.

Currently, when the denoising method is used for noise reduction and filtering process on marine remote sensing image with complex background, there is the low calculation speed, and the effect of noise reduction is poor. Therefore, a method for noise reduction of adaptive Wiener filtering of marine remote sensing image was proposed. Based on representational ability of frequency phase information for features of ocean remote sensing image, the phase consistency was introduced to extract multi-scale gradient of ocean remote sensing image. Wiener filter was used for adaptive Wiener filter process based on the multi-scale gradient characteristics of remote sensing image. Experimental result shows that the proposed method can solve the fuzzy boundary of marine remote sensing image well.

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