SAR image ground object cutting method based on random projection and improved spectral cluster

Abstract

The invention discloses an SAR image ground object cutting method based on a random projection and an improved spectral cluster and belongs to the technical field of image processing. The SAR image ground object cutting method based on the random projection and the improved spectral cluster is the tentative research aimed at the application of a compression sensing radar system and is mainly used for directly carrying out a series of processing on observation vectors of a target for image cutting. According to the process, an image to be cut is partitioned through a 9*9 window according to the pixels; one-dimension Gaussian random observation is carried out on each block, and the obtained observation vectors are stored into Y1; the density sensitive distance between the blocks is worked out with each observation vector as a whole, and a Laplacian matrix is constructed; a feature vector corresponding to the maximum feature value of the Laplacian matrix is worked out, and a matrix V is constructed; the row vector of the V is normalized, a matrix X is obtained, each row of the X is regarded as a point, the points are clustered as a cluster k by utilizing an average value K, and each row is marked with a category number; the mark numbers of all pixels in an SAR image are output and displayed in a result image with different colors, and the final cutting result image is obtained. The SAR image ground object cutting method based on the random projection and the improved spectral cluster has a good cutting effect under a low sampling rate, and can be applied to the field of SAR image ground object cutting based on the compression sensing theory.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a method for segmenting SAR images, which can be applied to the segmentation of SAR images. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution radar system that can be used in many fields such as military affairs, agriculture, navigation, and geographic surveillance. It has many differences compared with other remote sensing imaging systems and optical imaging systems. In terms of military target recognition, SAR images are widely used in the field of target detection. SAR image classification refers to the separation of different features and different types of target areas from SAR images. It is a key step in SAR image understanding to extract target features by studying target scattering echoes, analyze target characteristics, and automatically distinguish different ground objects. SAR image segmentation is an important step from image processin...

AI Technical Summary

Problems solved by technology

One of the problems is that its processing speed is very slow for large-scale matrices. Even if a sparse matrix is ​​used, that is, the method of setting a neighborhood for each pixel, the time complexity is still high due to the need to construct a similarity matrix and solve its eigenvectors. is O(n 3 ), this shortcoming greatly limits the development of spectral clustering methods

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