SAR Object Classification Method Based on CNN and SVM Decision Fusion
A target classification and decision fusion technology, applied in the radar field, can solve problems such as unsatisfactory target recognition effect, achieve the effect of improving classification effect and reducing interference
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[0024] refer to figure 1 , is a flow chart of a decision fusion classification method based on SVM and CNN of the present invention; wherein the decision fusion classification method based on SVM and CNN comprises the following steps:
[0025] Step 1: Data initialization.
[0026] 1.1) What the present invention is aimed at is the target recognition of radar SAR image, and for each SAR image, its target category is known; Determine SAR image, described SAR image comprises λ class target, λ≥2, and each class target corresponds to A label, and then get the label y corresponding to the λ class target tr1 、y tr2 ,...,y trλ , each type of target includes at least one target, and the azimuth and elevation angles of all targets in each type of target are the same.
[0027] For the λ class target, the pitch angle is from σ 1 to σ 2 , interval σ 3 , azimuth from ξ 1 to ξ 2 , interval ξ 3 Under SAR imaging, a total of SAR images, where 0°≤σ 1 ≤90°, 0°≤σ 2 ≤90°, σ 1 ≤σ 2 ...
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