Unsupervised sar image segmentation method based on high-order multi-scale crf
An image segmentation, multi-scale technology, applied in the field of image processing, can solve the problem of low accuracy, reduce the demand for training data, and overcome the effect of low accuracy
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[0067] The present invention will be further described below in conjunction with the accompanying drawings.
[0068] refer to figure 1 , to further describe the specific implementation steps of the present invention.
[0069] Step 1, input synthetic aperture radar SAR image.
[0070] In step 2, the input SAR SAR image is subjected to wavelet transform to obtain a multi-scale SAR SAR image.
[0071] Step 3, calculate the histogram features of the high-order multi-scale conditional random field CRF.
[0072] A window with a radius of 7 pixels is used to slide at intervals of one pixel in the multi-scale synthetic aperture radar SAR image, and the sliding window operation is performed on the multi-scale synthetic aperture radar SAR image, and all pixels in each sliding window are calculated separately Histogram features of values.
[0073] The specific steps for calculating the histogram features of all pixel values in each sliding window are as follows:
[0074] Step 1, a...
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