SAR (Synthetic Aperture Radar) image change detection method based on neighborhood similarity and mask enhancement
An image change detection and similarity technology, which is applied in the field of remote sensing image processing, can solve the problems that the difference between the change class and the non-change class is not obvious enough, increase the complexity of the change detection method, increase the difficulty of classification, etc., and achieve the reduction of complexity and error detection. And the effect of low number of missed detection and small time complexity
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[0044] Refer to attached figure 1 , the present invention comprises the following steps:
[0045] Step 1: Use the remote sensing image processing software ERDAS to analyze two SAR images of the same scene I 1 and I 2 Perform geometric correction and registration.
[0046] Step 2: According to the neighborhood similarity NSR operator, construct the image I according to the following steps 1 and I 2 The difference image map DI.
[0047] 2a) Obtain the two-temporal SAR image I respectively 1 and I 2 Neighborhood set N of pixel gray values at the same position x 1 (x) and N 2 (x), whose size is N×N, N ∈ {3, 5, 7, 9};
[0048] 2b) Compare two neighborhood sets N 1 (x) and N 2 (x) similarity, get the pixel gray value DI(x) of the difference map DI at position x:
[0049] DI ( x ) = Σ i = 1 ...
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