Research on ocean eddy detection method based on SAR images

Abstract

Synthetic Aperture Radar (SAR) provides a large amount of image data for the observation and research of ocean eddies. Using SAR images to detect ocean eddy targets is of great significance to the research of ocean eddies and the application of SAR eddy images. This paper proposes a complete process of ocean eddy detection based on SAR images. Combined with the characteristics of SAR images and ocean eddies, the SAR ocean eddy detection is transformed into the problem of eddy texture feature extraction, and a method of distinguishing and processing eddy images according to the judgment conditions is proposed to achieve the purpose of eddy detection. First, the SAR ocean eddy image is selectively pre-processed; secondly, the pre-processed eddy image is denoised based on the NSST total variation regularization method or the WNNM method; Then, the eddy feature extraction is performed on the denoised eddy image by using the wavelet transform modulo maximum method or the structural morphological method; Finally, the eddy image after feature extraction is post-image processed, and the detected ocean eddy target is marked on the original SAR image.