SAR image target recognition method based on non-negative matrix factorization of sparse constraint
A non-negative matrix decomposition and sparse constraint technology, which is applied in the field of SAR image target recognition by non-negative matrix decomposition, and can solve problems such as SAR image sparsity that is not reflected.
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[0032] refer to figure 1 Shown, the specific implementation steps of the present invention are as follows:
[0033] Step 101: input training sample set and test sample set, the input sample is the SAR target picture in the MSTAR database, such as figure 2 As shown, a is the original image of the BMP2-SN_9563 armored vehicle, b is the original image of the BMP2-SN_9566 armored vehicle, c is the original image of the BTR70-SN_C71 armored vehicle, d is the original image of the T72-SN_132 main battle tank, e It is the original image of T72-SN_812 main battle tank. The MSTAR database is provided by the DARPA / AFRL Moving and Stationary Target Acquisition and Recognition program work, figure 2 In the above, the resolution of each picture is 0.3m*0.3m, and the size is 128*128. In the experiment, the training samples we selected are the pictures when the pitch angle of the SAR is 17°, and the selected test samples are the pictures when the pitch angle is 15°. ° when the picture. ...
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