Synthetic aperture radar image segmentation method based on level set

Abstract

The invention discloses an image partition method of synthetic aperture radars (SAR) which is based on a level set and relates to the application technology of radar remote sensing. The method comprises the following procedures: an SAR echoed signal is acquired by a receiver and a hybrid probability model of an SAR image is computed; a boundary detection operator is computed according to the hybrid probability model; an energy functional based on a boundary information is acquired by combining a geodesic active contour model with the boundary detection operator; the energy functional based on a region information is computed and a partition model is defined as the weighted sum of the energy functional which are based on the region information and the boundary information; the partition model is minimized by a variation method, so as to acquire the partition result of the SAR image. As the invention uses the level set method for transforming curve movement into curved surface movement, even if the target boundary is disunited or merged in the image partition, the topology structure of the curved surfaces does not change, and simultaneously the invention does not need a noise preprocessing procedure, thus improving the precision and the applicability of the SAR image partition.

Description

technical field [0001] The invention relates to radar remote sensing application technology, which uses images to analyze radar observation information, and especially relates to the level set method in synthetic aperture radar. [0002] applications in image segmentation. Background technique [0003] Synthetic Aperture Radar (SAR) image segmentation is one of the important research contents in the field of radar remote sensing applications, and it plays an important role in explaining radar observations, analyzing scene features, and target recognition. Carrying out the research on SAR image segmentation is of great significance to promote the scientific development of radar remote sensing application technology. [0004] Compared with optical images, the biggest feature of SAR images is the influence of coherent speckle noise. Its existence makes SAR images exhibit low signal-to-noise ratio, so many standard optical image segmentation algorithms are difficult to obtain s...

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Problems solved by technology

However, in the above research methods, the definition of energy functional is based on image region information (Ayed I B, Vazquez C, Mitiche A, Belhadj Z. SAR image segmentation with active contours and level sets [J]. IEEE International Conference on Image Processing, 2004, 2717-2720), although certain boundary information is included in the energy functional, but they are only regularization factors to ensure the smooth boundary, and do not make full use of the boundary feature information of the image, so the positioning accuracy at the weak boundary of the image Poor, prone to boundary leakage at local points

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