Synthetic aperture radar image de-noising method based on shear wave domain parameter estimation
A technology of synthetic aperture radar and parameter estimation, applied in image enhancement, image analysis, image data processing, etc., and can solve problems such as models that do not consider noise
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[0029] The present invention will now be further described in conjunction with the embodiments and drawings:
[0030] The hardware environment used for implementation is: Intel(R)core(TM)i5-3230M computer, 4GB memory, and the running software environment is: Matlab7.0 and Windows 8. The Matlab programming language is used to realize the method proposed by the present invention. The image data uses the method of adding multiplicative noise to the natural image to simulate the SAR image and a real image SAR image.
[0031] The specific implementation of the present invention is as follows:
[0032] Step 1: Shearlet decomposition: Decompose the SAR image with multiplicative speckle noise through shear wave decomposition to obtain the decomposed coefficient S. Use L(S) to represent the low frequency approximation coefficient, and Y(S) to represent the high Frequency detail coefficient;
[0033] Step 2: Parameter estimation
[0034] 1) Use the low-frequency approximation coefficient L(S) ...
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