A New Tool for Intelligent Parallel Processing of Radar/SAR Remotely Sensed Imagery

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">SNR (dB)</td><td align="center">RASF-PM method (dB)</td><td align="center">RASF-fuzzy method (dB)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">5</td><td align="center">7.13</td><td align="center">8.15</td></tr><tr><td align="left">10</td><td align="center">7.92</td><td align="center">10.37</td></tr><tr><td align="left">15</td><td align="center">9.75</td><td align="center">11.74</td></tr><tr><td align="left">20</td><td align="center">10.86</td><td align="center">13.65</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

IOSNR of the aggregated RASF-PM and RASF-fuzzy anisotropic diffusion algorithms evaluated for different SNRs.

Mathematical Problems in Engineering

tab2

Table 2

Table 2: A New Tool for Intelligent Parallel Processing of Radar/SAR Remotely Sensed Imagery 