Reply to Comments on "An Analysis of a Staked Dipole Probe on a Lossy Earth Plane Using the Finite Difference Time Domain Method"

نویسندگان

  • David Victor Thiel
  • Raj Mittra
چکیده

A competitive neural network (NN) learned by the OLVQ1algorithm has the potential to produce images for land cover mapping.We propose an extended OLVQ1 that adds learning ratios to the originalalgorithm. Applying it to SPOT XS data, we show that higher mappingaccuracies can be obtained compared to those of conventional methods.

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Reply to Comments on 'An Analysis of a Staked Dipole Probe on a Lossy Earth Plane Using the Finite Difference Time Method'

A competitive neural network (NN) learned by the OLVQ1algorithm has the potential to produce images for land cover mapping.We propose an extended OLVQ1 that adds learning ratios to the originalalgorithm. Applying it to SPOT XS data, we show that higher mappingaccuracies can be obtained compared to those of conventional methods.

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عنوان ژورنال:
  • IEEE Trans. Geoscience and Remote Sensing

دوره 37  شماره 

صفحات  -

تاریخ انتشار 1997