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.