A method for object recognition in sar images based on two-dimensional nonlinear projection features
A target recognition and non-linear technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of reducing the final classification result, dimensionality disaster, and increasing the amount of calculation, so as to improve the accuracy of classification and improve Classification efficiency, effect of reducing feature dimension
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[0036] The specific implementation manners of the present invention will be described below in conjunction with the accompanying drawings.
[0037] Such as figure 1 Shown, the implementation process of the present invention is as follows:
[0038] Step 1. Select N pieces of m×n training sample SAR image A according to the target data 1 ,A 2 ,...,A N , belonging to c categories, N 1 ,N 2 ,...,N c Indicates the sample size of each class, N 1 +N 2 +...+N c =N.
[0039] Step 2.1, express Al in columns as l=1,2,...,N, means A l The kth column of , k=1,2,...,n. to A l After nonlinear mapping φ, the image samples in the kernel space H are obtained as Then the inter-class discrete matrix and the intra-class discrete matrix in the high-dimensional space are
[0040]
[0041]
[0042] It can be seen from formulas (1) and (2) that its essence is to take corresponding operations on the columns of the image. Select an appropriate kernel function, for a certain col...
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