Image change detection method based on deep neural network structure optimization
A technology of image change detection and network structure, which is applied in the field of image processing, can solve problems such as reduced flexibility, time and effort, and poor generalization performance, and achieve the effects of saving time and overhead, improving generalization performance and flexibility
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[0032] Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail:
[0033] refer to figure 1 , the implementation steps of this example are as follows:
[0034] Step 1 reads in the image and performs normalization processing.
[0035] First, read in the two registered and corrected images taken at the same location in different phases I x and I y , the purpose of registration and correction is to geometrically match images of different time phases, different bands or different types, so that the images have uniform geographic coordinates and pixel spatial resolution;
[0036] Then, for the two images I x and I y Perform normalization processing respectively to obtain two normalized images I 1 and I 2 , respectively as follows:
[0037]
[0038]
[0039] Step 2 obtains the training sample set.
[0040] For the normalized two images I 1 and I 2 10% of the image area in the image is marked, and th...
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