SAR image target identification method based on depth increment support vector machine
A support vector machine and support vector technology, applied in the field of image processing, can solve problems such as long training time, low recognition rate, and inability to represent original images well, achieving good real-time performance, reducing training time, and improving target recognition. rate effect
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[0042] The present invention will be further described below in conjunction with the accompanying drawings.
[0043] refer to figure 1 , the concrete steps that the present invention realizes are as follows:
[0044] Step 1, input SAR image.
[0045] Input the training sample set and test sample set of known class labels selected in the MSTAR dataset.
[0046] Step 2, image preprocessing.
[0047] The two-dimensional discrete wavelet transform is performed on the training sample set and the test sample set respectively, and the low-frequency images of the training sample set and the test sample set are obtained.
[0048] PCA dimensionality reduction method is used to reduce the dimensionality of the low-frequency images of the training sample set and the test sample set, respectively, and obtain the training sample set and test sample set after dimensionality reduction.
[0049] PCA whitening method is used to whiten the training sample set and test sample set after dimens...
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