SAR image target detection method based on unsupervised domain adaptive CNN
A target detection and supervision domain technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of low detection accuracy and achieve the effect of improving discrimination and high accuracy
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[0043] The present invention will be further described below in conjunction with the accompanying drawings.
[0044] refer to figure 1 , to further describe the specific steps for realizing the present invention.
[0045] Step 1, generate the source domain dataset.
[0046] From the labeled images of the synthetic aperture radar SAR image set, at least 300 images with their own labels are arbitrarily selected to form the source domain dataset.
[0047] Step 2, target domain training set and target domain test set.
[0048] From the labeled images of the synthetic aperture radar SAR image set, at least 300 images with their own labels are arbitrarily selected to form the source domain dataset.
[0049] From the unmarked images of the synthetic aperture radar SAR image set, at least 100 unmarked images are randomly selected to form the target domain training set.
[0050] From the unmarked images of the synthetic aperture radar SAR image set, at least 30 unmarked images are ...
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