SAR Image Segmentation Method Based on Deconvolution Network and Sketch Direction Constraint

Abstract

The invention discloses an SAR image segmentation method based on a deconvolution network and sketch direction constraint. The invention mainly solves the problem that existing segmentation technologies are inaccurate in SAR image segmentation. The method comprises the implementation steps of 1, sketching an SAR image, thus acquiring a sketch; 2, dividing pixel sub-spaces of the SAR image according to an area chart of the SAR image; 3, training the deconvolution network; 4, clustering filter directions; 5, segmenting the pixel sub-space with a hybrid aggregation structure by using the SAR image segmentation method based on the deconvolution network and the sketch direction constraint; 6, performing independent target segmentation based on a sketch line gathering characteristic; 7, performing line target segmentation based on a visual semantic rule; 8, segmenting the homogeneous area pixel sub-space by using a polynomial-based logistic regression prior model; and 9, combining segmentation results, thus acquiring an SAR image segmentation result. According to the method provided by the invention, the good segmentation effect of the SAR image is acquired, and thus the method can be used for performing semantic segmentation on the SAR image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a SAR image segmentation method based on a deconvolution network and a sketch direction constraint in the technical field of image segmentation. The invention can accurately segment different regions of the synthetic aperture radar SAR image, and can be used for target detection and recognition of the subsequent synthetic aperture radar SAR image. Background technique [0002] Synthetic aperture radar (SAR) is an important progress in the field of remote sensing technology, which is used to obtain high-resolution images of the earth's surface. Compared with other types of imaging technologies, synthetic aperture radar (SAR) has very important advantages. It is not affected by atmospheric conditions such as clouds, rain or heavy fog, and light intensity, and can obtain high-resolution remote sensing data all day and all weather. Synthetic Aperture Radar (SAR) techn...

AI Technical Summary

Problems solved by technology

The shortcomings of this method are that the boundary positioning of the aggregated area is not precise enough, the determination of the number of homogeneous areas is not reasonable enough, the regional consistency of the segmentation results is poor, and the independent target is not processed in the segmentation of the structural area.

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