Depth learning and SIFT feature-based SAR image change detection method
A technology of image change detection and deep learning, applied in the field of image processing, can solve the problems of low accuracy, lack of consideration, sensitivity to speckle noise in SAR images, etc., to achieve the effect of improving accuracy, overcoming low robustness and strong adaptability
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[0039] The present invention will be further described below in conjunction with the accompanying drawings.
[0040] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0041] Step 1, read in the SAR image.
[0042] Read in two registered and rectified SAR images I and J in different phases of the same area.
[0043] Step 2, normalization.
[0044] According to the following formula, the SAR images I and J are normalized to obtain the normalized SAR image:
[0045] I ′ = I - m i n ( I ) max ( I )
[0046] J ′ = J - ...
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