Highly Robust Synthetic Aperture Radar Target Recognition Method Based on Simulation Data Training

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Number of samples</td><td class="align_center">BMP2</td><td class="align_center">BTR70</td><td class="align_center">T72</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Training samples (SAR simulation images)</td><td class="align_center">360</td><td class="align_center">360</td><td class="align_center">360</td></tr><tr><td class="align_left">Training samples (after expansion)</td><td class="align_center">3240</td><td class="align_center">3240</td><td class="align_center">3240</td></tr><tr><td class="align_left">Test samples (MSTAR measured images)</td><td class="align_center">233</td><td class="align_center">233</td><td class="align_center">232</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Training and test samples used in nonhomologous target recognition experiments.</div>

International Journal of Antennas and Propagation

tab7

Table 7

Table 7: Highly Robust Synthetic Aperture Radar Target Recognition Method Based on Simulation Data Training 