SAR image target recognition method based on kernel fuzzy Foley-Sammon transformation
A target recognition and image technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as inability to deal with linear inseparability, and achieve the effect of avoiding the disaster of dimensionality and high recognition accuracy
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[0040] The sample data is the MSTAR (the Moving and Stationary Target Acquisition and Recognition) data set of DARPA and Wright Laboratory in the United States, which comes from: https: / / www.sdms.afrl.af.mil / datasets / matar / . Such as figure 2 As shown, four types of targets in the MSTAR dataset (2S1: artillery launch vehicle; BRDM2: armed transport vehicle; SLICY: double cylindrical metal body; ZSU23: anti-aircraft gun vehicle) are selected as identification objects, and 100 samples are taken for each category, a total of 400 SAR image sample, a sample with a radar viewing angle of 15 degrees.
[0041] Step 1, each SAR image is pulled into a row vector by column;
[0042] Stretch the SAR image into a row vector by column, for example, stretch a 128x128 SAR image into a 1x16384 row vector. In this way, 400 row vectors can be obtained from 400 SAR images.
[0043] Step 2: Use principal component analysis to perform dimension reduction processing, as follows:
[0044] The...
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