SAR image registration method based on multi-scale image block characteristics and sparse expression
A technology of sparse representation and image registration, applied in the field of image processing, which can solve the problems of low registration accuracy and wrong matching points.
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[0040] The present invention will be further described below in conjunction with accompanying drawing:
[0041] refer to figure 1 , the implementation steps of the present invention are as follows:
[0042] Step 1, input two images, choose one as the reference image I 1 , take the other as the image to be registered I 2 .
[0043] The two input images are respectively intercepted from two SAR images of different polarization modes or different time phases acquired by an airborne radar.
[0044] Step 2, select the feature points of the reference image.
[0045] 2.1) Using the SIFT algorithm to extract the reference image I1 feature points, the I 1 All feature points of are stored in the first set R;
[0046] 2.2) Randomly select a feature point r from the reference image feature point set R i , using the stationary wavelet transform method to calculate the spatial correlation ρ(r i );
[0047] 2.2a) Use the stationary wavelet transform to decompose the input image into...
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