Remote sensing image change detection method based on multi-group filtering and dimension reduction
A remote sensing image and change detection technology, which is applied in image analysis, image data processing, instruments, etc., can solve problems affecting the results of change detection, reduce spatial information of changed areas, and large calculation load, so as to improve algorithm efficiency and increase aggregation The effect of class quality and algorithm efficiency improvement
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[0022] refer to figure 1 , the implementation steps of the present invention are as follows:
[0023] Step 1, for the two input remote sensing images T1 and T2 whose size is M×N and have been registered in different phases, such as figure 2 As shown, the pixel gray value at the corresponding position (x, y) of image T1 and image T2 space with Calculate the difference and get the difference difference map x=1, 2, . . . , M, y=1, 2, . . . , N, where M is the length of the remote sensing image T1, and N is the width of the remote sensing image T1.
[0024] Step 2, calculate the classification threshold T of the difference difference map Xd change class and non-change class m :
[0025] (2a) The initial classification threshold T is the mean value of the maximum pixel value and the minimum pixel value in the difference difference map Xd;
[0026] (2b) Use the initial classification threshold T to divide the difference difference map Xd into two categories, and calculate ...
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