Algorithm for detection of changing regions in sar images based on self-paced learning
A technology of area detection and image change, applied in the field of image processing, can solve problems such as difficult automatic selection, loss of image texture information, and artificial parameters, etc., to achieve the effect of improving self-learning ability, improving precision, and improving accuracy
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[0037] The present invention will be further described below in conjunction with the accompanying drawings.
[0038] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0039] Step 1, read in the synthetic aperture radar SAR image.
[0040] Read in two registered and corrected synthetic aperture radar SAR images of different time phases in the same area I 1 and I 2 .
[0041] Step 2, normalization.
[0042] Using the following formula, the synthetic aperture radar SAR image I 1 and I 2 Perform normalization processing respectively to obtain the normalized synthetic aperture radar SAR image I 1 ' and I 2 ':
[0043]
[0044]
[0045] Among them, I 1 'Denotes synthetic aperture radar SAR image I1 Normalized synthetic aperture radar SAR image, min means to take the minimum value operation, max means to take the maximum value operation, I 2 'Denotes synthetic aperture radar SAR image I 2 Normalized synthetic aperture r...
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